Login

Proceedings

Find matching any: Reset
2010
Add filter to result:
Authors
Acevedo, E
Adamchuk, V.I
Adkins, J
Adrian, A.M
Aguilar, J
Ahamed, T
Aizpurua, A
Al-Gaadi, K.A
Alabi, T
Albrigo, L.G
Alchanatis, V
Alheit, K.V
Allphin, E
Amakor, X
Andrade, R.G
Antuniassi, U
Arriaza, O.E
Ashley, R
B, K
Baghernejad, M
Bailey, M.J
Baio, F
Bajwa, S.G
Balasundram, S.K
Balkcom, K
Baret, F
Bareth, G
Barnes, W
Barros, M.F
Bartzanas, T
Basso, B
Batbayar, B
Bauer, P.J
Bazzi, C.L
Beck, D.L
Bedard, F
Belasque Jr., J
Bell, G.E
Bellenguez, R
Benavente, J.C
Berdugo, C
Bernardi, A.C
Besga, G
Betteridge, K
Bierman, D
Bingner, R.L
Biscaro, A
Bishop-Hurley, G.J
Blackmer, T.M
Bochtis, D
Bodson, B
Bonfil, D.J
Borchert, A
Bosompem, M
Bosse, D
Bourgain, O
Brase, T
Brodbeck, C.J
Bronson, K
Bryan, W
Buffet, D
Burger, L.W
Burris, E
Busemeyer, L
Busscher, W.J
Caballero-Novella, J.J
Cao, Q
Cardon, G.E
Carlson, G
Carroll, S
Carrow, R
Carson, T
Carter, P.G
Cassman, K
Castell, A
Castillejo-Gonz, I
Cepicky, J
Cerri, D.G
Chantuma, D
Charvat, K
Chen, L
Chen, T
Chen, X
Choudhari, D.D
Chung, S
Civeira, G
Clarke, A
Claupein, W
Clay, D.E
Clay, S.A
Cline, V
Coelho, A
Coen, T
Cohen, Y
Cointault, F
Collins, H.P
Congona Benavente, J
Cox, M
Cranfield, G
Cugnasca, C.E
Cui, Z
Cunha, T.F
D, M.E
Dao, T.H
Darr, M.J
Davis, J
Davis, R.F
De Baerdemaeker, J
Debuisson, S
Defourny, P
Dehne, H
Del Solar, D.E
Delgado, J.A
Deng, L
Deng, W
Destain, J
Destain, M
Diaz-Zorita, M
Dillon, C
Dima, C
Dima, C.S
Dobbins, R
Dobers, S.E
Donald, G.E
Dosskey, M.G
Doubledee, M
Douche, H
Draganova, I
Drummond, S.T
Dubois, J
Duhachek, G
Dumont, B
Duval, C
Dzinaj, T
Ehsani, R
Eivazi, F
Elhaddad, A
Emadi, M.M
Endres, G
English, B.C
Erdenee, B
Esau, T.J
Esquivel, W
Evans, D.E
Farooque, A.A
Fergugson, R.B
Ferguson, R.B
Fixen, P
Flitcroft, I
Follett, R
Fountas, S
Franzen, D.W
Freeman, M
Frieberg, D
Fritz, B.K
Fulton, J.P
Fumery, J
Fusamura, R
Gandorfer, M
Garc, A
Garcia, L
Garcia-Torres, L
Ghebremichael, L.T
Ghinassi, G.P
Ghosheh, H
Gimenez, L.M
Gitelson, A.A
Givens, W
Gnip, P
Gnyp, M.L
Goffart, J
Golus, J.A
Gomez-Candon, D
Gomez-Casero, M
Gonzalez-Mora, J
Gozdowski, D
Graeff, S
Green, O
Greer, K
Grego, C.R
Griffin, S
Griffin, T
Grove, J
Guo, J
Guppy, C.N
Gupta, M
Haak, D
Happich, G
Harms, H
Harper, D.C
Hawks, A
Hays, A
Hedley, M.J
Heiniger, R
Henderson, W
Herold, L
Herrmann, I
Hijazi, B
Hill, C
Hillnhuetter, C
Hinch, G.N
Hoffmann, C
Hoffmann, W.C
Holland, K.H
Hong, S
Hongo, C
Hossain, B
Huang, S
Huang, W
Huang, Y
Huggins, D.R
Hunsche, M
Husband, S.C
Hutchinson, A
Ikpi, A.E
Inamasu, R.
Inamasu, R.Y
Irvine, L
Isenhart, T.M
J, R
Jacobson, A.R
James, D.E
Jasper, J
Jezek, J
Ji, Z
Jiang, R
Jiang, Y
Johnson, R.M
Jonjak, A.K
Journaux, L
Jurado-Exp, M
KANDA, R
KOJIMA, Y
Kaho, T
Karnieli, A
Kemanian, A.R
Kemerait, R.C
Khalilian, A
Khosla, R
Khosro Anjom, F
Kieffer, D
Kim, H
Kinder, T
King, B.A
Kirkpatrick, T
Kitchen, N.R
Klein, R.N
Klose, R
Kodaira, M
Krivanek, Z
Krueger Shvetsova, E
Krueger, E
Krum, J
Kruse, R
Kumar, A
Kumar, R
Kurtener, D
Kwarteng, J.A
Kyveryga, P.M
L, M
LAK, M
LAWAL, J
Lacey, R
Lamb, D.W
Lambert, D.M
Lambur, M
Lampinen, B
Lan, Y
Lang, T
Larkin, S.L
Larson, J.A
Lavado, R
Lebeau, F
Lee, C
Lee, W
Lejealle, S
Leonard, A
Leroux, G.D
Levow, G
Li, F
Li, M
Li, Y
Liaghat, S
Link, A
Linz, A
Llorens, J
Long, D.S
Longchamps, L
Lopez Lozano, R
Lopez-Granados, F
Lowenberg-DeBoer, J
Lu, P
Luck, J.D
Lukach, J
Ma, K
Ma, W
MacDonald, L
Machado, P.L
Mackenzie, C
Macy, T
Magalh, P.S
Magalhaes, P.S
Maglh, P.S
Mahlein, A
Maidl, F
Mandel, R
Marcassa, L
Marin, A
Marra, M.C
Martin, D
Martin, D.L
Martin, R
Martin, S.W
Martinon, V
Mata-Padrino, D
Mayer, W
McCarter, K.S
McConnell, M.D
McDonald, T.P
McGary, S.D
McGraw, T
McKay, K
McNeill, D
Melnitchouck, A
Mercuri, P
Meyer-Aurich, A
Miao, Y
Millen, J.A
Mishra, A
Mistele, B
Miteran, J
Moeller, K
Molin, J
Monfort, S
Mooney, D.F
Morris, E
Moshia, M.E
Moss, J.Q
Moulton, P
Mueller, J
Mueller, T.G
Mullen, R.W
Mullenix, D
Muschietti, P
Musil, M
Mzuku, M
NAGAMI, Y
Nabizadeh, E
Nayse, S.P
Neupane, D
Ninomiya, K
Niwa, K
Noga, G
Norwood, S.H
Nowatzki, J
Ntifo-Siaw, E
Oerke, E
Ohaba, M
Okoruwa, V.O
Oksanen, T
Olayide, O.E
Olfs, H
Olsen, D.R
Omodele, T
Orellana, J
Orloff, S
Ortega, R.A
Ortiz, B
Overstreet, C
Pacher, B
Pagni, P
Paindavoine, M
Pan, L
Pan, X
Panneton, B
Pantel, M
Parajulee, M
Patil, V.C
Paxton, K.W
Payton, M.E
Pe, J.M
Pearson, R
Pena-Yewtukhiw, E.M
Percival, D.C
Perez-Parmo, R
Perret, J.S
Perry, C
Perry, E.M
Peterson, G
Pfenning, J
Phillips, L
Phillips, S.B
Pierce, F
Pimstein, A
Pinkston, P
Pitla, S.K
Pl, L
Poelling, B
Porto, A.J
Portz, G
Prassack, L
Pravia, V
Price, R
Qian, J
Qiu, Z
R, C
Rabello, L.M
Ragab, R
Rahe, F
Raun, W.R
Read, S.M
Reddy, K
Reese, C.L
Reetz, H
Reeves, J.M
Reich, R
Reichert, G
Reitsma, K.D
Rejesus, R
Reusch, S
Reyes, J.F
Rice, K
Roberts, D
Roberts, D.F
Roberts, R.K
Rodekohr, D
Rodrigues Jr, F
Rodriguez, M
Roel
Roger, T
Rousseau, J
Ru, G
Ruckelshausen, A
Rumpf, T
Rund, Q
Runge, M
Rupe, J.C
SANAEI, A
SONODA, M
Saeys, W
Samborski, S.M
Sankaran, S
Santos, H.P
Sapkota, T.B
Sauer, B
Schelde, K
Schelling, K
Schepers, J
Schepers, J.S
Schmidhalter, U
Schneider, D
Schneider, M
Schroeder, M.A
Schulthess, R
Schumacher, T.E
Schumann, A.W
Segarra, E
Shahinian, M
Shanahan, J.F
Shaner, D
Shannon, D.K
Shapira, U
Shapiro, C.A
Sharda, A
Sharma, A
Shaver, T
Shaw, J.N
Shearer, S.A
Sheridan, A
Sherrod, L.A
Shi, Y
Shibusawa, S
Shiratsuchi, L
Shockley, J
Short, E
Shrestha, R
Sikora, R.A
Silva, C.A
Simard, M
Singh, G
Singh, M
Slater, G
Slaughter, D
Smith, A
Smith, F
Smith, J
Solie, J.B
Sorensen, C
Sousa, R.V
Souza, E.G
Stafford, K.J
Staricka, J
Stauffer, T
Steiner, U
Stiehl, D
Stombaugh, T
Stone, K
Stone, M.L
Streeter, C.R
Strenner, M
Strickland, E.E
Stromberger, M
Suddeth, K.A
Suddth, K.S
Sudduth, K.A
Suh, C
Sulastri, N
Sullivan, D.G
Sun, C
Sun, Z
Sunley, S
Ta, S
Taberna, Jr., J.P
Tangerino, G.T
Tateishi, R
Tatge, J
Taylor, D
Taylor, R.K
Terra, J.A
Theriault, R
Theurer, F.D
Thiel, M
Thompson, A
Thomsen, A
Thomson, S.J
Tian, L
Tian, Y
Ting, K
Tisseyre, B
Tomer, M
Torbert, H
Trautz, D
Tremblay, N
Troesch, A.M
Trotter, M.G
Uberuaga, D.P
Udompetaikul, V
Unamunzaga, O
Upadhyaya, S
Uribe-Opazo, M.A
Urricariet, S
Valcke, R
Vallespi Gonzalez, C
Van Den Wyngaert, L
Vanacht, M
Vancutsem, F
Vangeyte, J
Varner, D.L
Vaz, C.M
Veith, T.L
Velandia, M
Viator, R.P
Vieri, M.P
Vollmar, J
Wadhai, V.M
Wagner, P
Waits, M
Wang, C
Wang, J
Wang, N
Wang, Y
Warren, J.G
Weersink, A
Weiss, U
Weist, D
Wells, R.R
Werner, A
Westbrook, J
Westfall, D
Wetterich, C
Whaley, C
White, S
Williams, J.D
Williams, R
Winstead, A.T
Wortmann, C.S
Wu, G
Wuest, S.B
Wurbs, A
Xiong, Y
Xu, G
Xue, X
YI, S
Yang, C
Yang, X
Yao, Y
Yoo, H
Young, S.L
Yule, I.J
Zach, D
Zaller, M
Zaman, Q
Zaman, Q.U
Zandonadi, R.S
Zhang, H
Zhang, R
Zhang, X
Zhang, Y
Zhao, B
Zhao, C
Zia, S
Zotarelli, L
de Solan, B
http://icons.paqinteractive.com/16x16/ac, G
kulkarni, S.S
marine, L
van Es, H.M
wang, X
Topics
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Engineering Technologies and Advances
Modeling and Geo-statistics
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change)
Precision A-Z for Practitioners
Precision Conservation
Guidance, Auto Steer, and GPS Systems
Precision Nutrient Management
Precision Horticulture
Education and Training in Precision Agriculture
Global Proliferation of Precision Agriculture and its Applications
Precision Carbon Management
Sensor Application in Managing In-season Crop Variability
Profitability, Sustainability, and Adoption
Pros and Cons of Reflectance and Fluorescence-based Remote Sensing of Crop
Precision Livestock Management
Precision Weed Management
eXtension: Precision Agriculture on the Internet
Information Management and Traceability
Optimizing Farm-level use of Spatial Technologies
Type
Poster
Oral
Year
2010
Home » Year » Results

Year

Filter results255 paper(s) found.

1. A Clustering Approach For Management Zone Delineation In Precision Agriculture

In recent years, an increasing amount of research has been devoted to the delineation of management zones. There have been quite a number of approaches towards using small-scale data for subdividing the field into a small number of zones, usually three or four. However, these zones are usually static, often require multi-year data sets and are based on low-resolution sampling methods for data acquisition. Furthermore, existing research into th... G. Ru, M. Schneider, R. Kruse

2. Yield Limiting Factors In The Conditions Of Southern Alberta

The main goal of our experiment was to determine the main factors determining yield of green biomass of spring barley in the conditions of Southern Alberta. To analyze soil properties in the field, grid sampling was conducted at 1-ha grid. Soil samples were collected from the depths of 0…15 and 15…60 cm and analyzed for over 20 different characteristics including soil organic matter content, pH, cation exchange capacity (CEC), and the concentrations of macro- and micronutrients.... A. Melnitchouck

3. 20/20 Vision On Precision---What The Last 20 Years Has Shown Us / What The Next 20 Promises To Give Us

placeholder... H. Reetz

4. A Case Study For Variable-rate Seeding Of Corn And Cotton In The Tennessee Valley Of Alabama

      Farmers have recently become more interested in implementing variable-rate seeding of corn and cotton in Alabama due to increasing seed costs and the potential to maximize yields site-specifically due to inherent field variability.  Therefore, an on-farm case study was conducted to evaluate the feasibility of variable-rate seeding for a corn and cotton rotation.... S.H. Norwood, J.P. Fulton, A.T. Winstead, J.N. Shaw, D. Rodekohr, C.J. Brodbeck, T. Macy

5. A Comparison Of Alternative Methods For Prioritizing Buffer Placement In Agricultural Watersheds For Water Quality Improvement

Conservation buffers are a widely used best management practice for reducing agricultural nonpoint source pollution. Various governmental programs and community initiatives have been implemented to adopt conservation buffers for water quality improvement. Since there is substantial cost for installing conservation buffers in watersheds, cost-effectiveness would be improved by targeting buffers to locations where they would produce greater benefit and to avoid location... Z. Qiu, M.G. Dosskey, D. Frieberg

6. A Comparison Of Conventional And Sensor-based Lime Requirement Maps

Successful variable-rate applications of agricultural inputs, such as lime, rely on quality of input data. Systematic soil sampling is... A.K. Jonjak, V.I. Adamchuk, C.S. Wortmann, C.A. Shapiro, R.B. Fergugson

7. A Comparison Of Spectral Reflectance And Laser-induced Cholorphyll Fluorescence Measurements To Detect Differences In Aerial Dry Weight And Nitrogen Update Of Wheat

       Chlorophyll fluorescence and spectral reflectance analysis are both powerful tools to study the spatial and temporal heterogeneity of plants` biomass and nitrogen status. Whereas reflectance techniques have intensively been tested for their use in precision fertilizer application, laser-induced chlorophyll fluorescence has been tested to a lesser degree, and there are hardly any... B. Mistele, U. Schmidhalter

8. A Computer Decision Aid For The Cotton Precision Agriculture Investment Decision

This article introduces the Cotton Precision Agriculture Investment Decision Aid (CPAIDA), a software decision tool for analyzing the precision agriculture investment decision. CPAIDA was developed to provide improved educational information about precision farming equipment ownership costs, and the required returns to pay for their investment. The partial budgeting and breakeven analysis framework is documented along with use of the decision aid. With care in specifying values, program users... J.A. Larson, D.F. Mooney, R.K. Roberts, B.C. English

9. A Crop And Soil Strategy For Sensor-based Variable-rate Nitrogen Management

Crop-based active canopy sensors and soil-based management zones (MZ) are currently being studied as tools to direct in-season variable-rate N application. Some have suggested the integration of these tools as a more robust decision tool for guiding spatially variable N rates. The objectives of this study were to identify (1) soil variables useful for MZ delineation and (2) determine if MZ could be useful in identifying field areas wi... D.F. Roberts, J.F. Shanahan, R.B. Fergugson, V.I. Adamchuk, N.R. Kitchen

10. A Model For Wheat Yield Prediction Based On Real-time Monitoring Of Environmental Factors

... B. Dumont, F. Vancutsem, J. Destain, B. Bodson, F. Lebeau, M. Destain

11. A New GIS Approach To Assess Nitrogen Management Across The USA

Nitrogen is one of the elements that are essential to maximizing agricultural productivity and economic returns for farmers. Its management is difficult because this element is very dynamic and mobile, characteristics that can contribute to significant losses via atmospheric, surface and/or leaching pathways. The magnitude of these losses can be affected by site-specific physical and chemical factors. These physical and chemical factors can vary significantly across the landscape, adding to t... J. Delgado

12. A Preliminary Evaluation Of Proximity Loggers To Detect Oestrus Behaviour In Grazing Dairy Cows

... D. Mcneill, G.J. Bishop-hurley, L. Irvine, M. Freeman, R. Bellenguez

13. A Step Towards Precision Irrigation: Plant Water Status Detection With Infrared Thermography

The increasing demand for water all over the world calls for precision agriculture which accounts globally about 70 percent of all water withdrawal. Therefore, there is a need to optimizing water use efficiency and making the best use of available water for irrigation. Plant water status detection for advanced irrigation scheduling is frequently done by predawn leaf water potential (ΨPD) or leaf stomata conductance (gL) measurements. However, these measurements are time and labour consumi... S. Zia

14. A Systematic Approach For Using Precision Agriculture Tools For On-farm Evaluations In Iowa

 The competitive nature of modern agriculture requires constant refinements of many crop production management decisions. Precision agriculture tools (PAT) can allow growers to rapidly evaluate different management practices across large areas at a relatively low cost. But a systematic approach and a decision-making process describing how to utilize different PAT for on-farm evaluations have not been yet developed and adopted. This presentation will focus on how  approximately... T.M. Blackmer, P.M. Kyveryga

15. Accounting For Spatial Correlation Using Radial Smoothers In Statistical Models Used For Developing Variable-rate Treatment Prescriptions

Variable-rate treatment prescriptions for use on commercial farms can be developed from embedded field trials on those farms. Such embedded trials typically involve non-random, high-density sampling schemes that result in large datasets and response variables exhibiting spatial correlation. In order to accurately evaluate the significance of the effects of the applied treatments and the measured field characteristics on the response of interest, this spatial correlation must be accounted for ... K.S. Mccarter, E. Burris

16. Active Sensor For Real-time Determination Of Soil Organic Matter

  Soil organic matter influences chemical and physical properties in the root zone as well as soil biological activity and plant vigor. As such, it is reasonable to assume that there are probably opportunities for producers to incorporate soil organic matter concentration information into their management decisions. However, soil organic matter is usually notoriously variable within fields. An active sensor based on in-soil reflectance was developed to provide apparent real-tim... J. Schepers, K.H. Holland

17. Adoption And Perceived Usefulness Of Precision Soil Sampling Information In Cotton Production

  Soil testing assists farmers in identifying nutrient variability to optimize input placement and timing. Anecdotal evidence suggests that soil test information has a useful life of 3–4 years. However, perceived usefulness may depend on a variety of factors, including field variability, farmer experience and education, farm size, Extension, and factors indirectly related to farming. In 2009, a survey of cotton farmers in 12 Southeastern states collected information... D.C. Harper, D.M. Lambert, B.C. English, J.A. Larson, R.K. Roberts, M. Velandia, D.F. Mooney, S.L. Larkin

18. Adoption And Use Of Precision Agriculture Technologies By Practitioners

A survey of farmers and farm service providers were initiated to ascertain the adoption and use of precision agriculture technologies as well as the barriers to and incentives for adoption. Farm-level data were collected via audience response system at the 2009 Alabama Precision Ag and Field Crops Conference and local winter production meetings across the six crop reporting districts in Alabama. Service provider data were collected using an online survey. Questions common to farmers and servi... A.T. Winstead, S.H. Norwood, T. Griffin, A.M. Adrian, M. Runge, J.P. Fulton

19. Adoption Of N-application Rates In Different Broccoli Cultivars By Reflectance Measurements

 To date many sensors have been solely developed and tested for arable crops. This project aims to develop the means to rapidly map N-demand in broccoli plants on a site-specific, plant-by-plant basis using reflectance measurements. The aim of this specific study was to monitor nitrogen status in six different broccoli cultivars using reflectance measurements and to derive suitable N-fertilization strategies based on the sensor measurements.... S. Graeff, J. Pfenning, W. Claupein

20. An Inter-connection Model Between Standard Zigbee And Isobus Network (ISO11783)

The typical five-step cyclical process of precision agriculture includes soil and environment data collection, diagnosis, data analysis, precision field correction operation and evaluations. Usually, some steps are executed in field, others in the farm office and others in both. This can result in a complex system and consequently in waste of time and high cost in equipment, tools and workmanship. To simplify this process, the challenge is ... M.F. Barros, C.E. Cugnasca, J. Congona benavente

21. An Overview of Soil Carbon, Management, and Agricultural Systems

  Topics to be covered include a discussion of what soil carbon sequestration is, how and where in the soil it occurs, and its role in maintaining important soil properties. The author draws upon his experience and that of others about practices for various parts of the US to describe on-farm and experimental agricultural systems and their degree of success to sequester carbon and improve soil quality. Included is an overview of carbon sequestration strategies and pos... R. Follett, E. Short

22. Analysis Of Principles For Adaptive Knowledge Management On Pilot Farms

Collected data, which are used in this research, are coming from several different data sources and time periods (soil test, satellite images, airborne pictures, soil type’s maps, yield predictions maps and other agronomist data).  According to above mentioned data was calculate also variable rate for application of Nitrogen, Potash, Phosphor and Calcium and applied time table during the 10 years period. Main goal of this... P. Gnip

23. Analysis Of Water Use Efficiency Using On-the-go Soil Sensing And A Wireless Network

An efficient irrigation system should meet the demands of the growing crops. While limited water supply may result in yield reduction, excess irrigation is a waste of resources. To investigate water use efficiency, on-the-go sensing technology was used to reveal soil spatial variability relevant to water holding capacity (in this example, field elevation and apparent electrical conductivity). These high-density data layers were used to identify strategic sites where monitoring water availabil... L. Pan, V.I. Adamchuk, D.L. Martin, M.A. Schroeder, R.B. Fergugson

24. Apparent Electrical Conductivity Calibration In Semiarid Soils: Ion-pair Correction

The electromagnetic induction sensor (EM38DD) is a field proven portable sensor for rapid measurement of the apparent electrical conductivity (ECa) of soils. Calibration with the electrical conductivity of saturation paste extracts is the most widely used method to correlate ECa with the effective electrical conductivity (ECe). A drawback of this method is the formation of ion pairs in the high ionic strength saturated paste extracts, which effectively decreases the measured ECe, leading to t... X. Amakor, A.R. Jacobson, G.E. Cardon, A. Hawks, W. Barnes

25. Application Of A Canopy Multisensor

The MobilLas mobile canopy sensor was initially developed for variable rate fertilisation and plant protection. Because of the several canopy variables sensed the sensor has wider application in crop and soil variability studies, detailed crop water balance studies, spatial modelling of p... A. Thomsen, K. Schelde

26. Application Of Algebra Hyper-curve Neural Network In Soil Nutrient Spatial Interpolation

Study on spatial variability of soil nutrient is the basis of soil nutrient management in precision agriculture. For study on application potential and characteristics of algebra hyper-curve neural network(AHNN) in delineating soil properties spatial variability and interpolation, total 956 soil samples were taken for alkaline hydrolytic nitrogen measurement from a 50 hectares field using 20m*20m grid sampling. The test data set consisted of 100 random samples extracti... L. Chen, C. Zhao, W. Huang, T. Chen, J. Wang

27. Application of Indirect Measures for Improved Nitrogen Fertilization Algorithms

blank... W.R. Raun

28. Application Of Precision Agriculture In Carbon Farming Practices Using The Real-time Soil Sensor

... Y. Li

29. Application Rate Stability When Implementing Automatic Section Control Technology On Agricultural Sprayers

Automatic section control (on and off) technology of sprayer boom sections is an intelligent solution to maximize spray application efficiency during field operations. This technology can reduce over-application of products. Spray controllers available with this technology attempt to maintain the set target rate by adjusting system flow rate based on ground speed and application width.  Therefore, as sections are turned on or off, the flow regulating hardware must respond to m... A. Sharda, J.D. Luck, J.P. Fulton, S.A. Shearer, S.A. Shearer, D. Mullenix, M. Vanacht

30. Artificial Neural Network Techniques To Predict Orange Spotting Disease In Oil Palm

       Large-Scale oil palm plantations require timely detection of disease symptoms to enable effective intervention. Orange spotting is an emerging disease that significantly reduces oil palm productivity. Remote sensing technology offers the means to detect crop biophysical properties, including crop stress, in a cost effective and non destructive manner. In this study, different portable sensors were used to measure spectral reflectance and chlorop... S. Liaghat, S.K. Balasundram

31. Assessment Of Climate Variability On Optimal Nitrogen Fertilizer Rates For Precision Agriculture

 Yield response functions... B. Basso, G. Http://icons.paqinteractive.com/16x16/ac, G. Http://icons.paqinteractive.com/16x16/ac, G. Http://icons.paqinteractive.com/16x16/ac

32. Assessment Of Field Crops Leaf Area Index By The Red-edge Inflection Point Derived From Venus Bands

The red-edge region of leaves spectrum (700-800 nm) corresponds to the spectral region that connects the chlorophyll absorption in the red and the amplified reflectance caused by the leaf structure in the near infrared (NIR) parts of the spectrum. At the canopy level, the inflection point of the red-edge slope is influenced by the plant’s condition that is related to several properties, including Leaf Area Index (LAI) and plant nutritional ... I. Herrmann, A. Pimstein, A. Karnieli, Y. Cohen, V. Alchanatis , D.J. Bonfil

33. Assessment Of Physiological Effects Of Fungicides In Wheat

The use of fungicides is one of the most widespread methods implemented in intensive crop production focused in solving phytosanitary problems. The use of fungicides belonging to groups such as strobilurins has been associated with positive physiological effects such as increased tolerance against abiotic stresses, changes in plant growth regulator activities and delayed leaf senescence. The use of thermography is a non- destructive method which permits to distinguish physiological changes ca... C. Berdugo, U. Steiner, E. Oerke, H. Dehne

34. Assessment Of Pod Ceal Dc™ Effect On Grain Yield In Beans Using Multi-spectral Satellite Imagery And Yield Data

Pod Ceal DC™ from BrettYoung creates an elastic membrane over pods in canola, beans etc., which results in controlling shatter before combining. To carry out this on-farm experiment, an irrigated field was divided in two parts according to the yielding potential and topographical characteristics to ensure equal conditions for both variants of the experiment. Grain beans were grown in the field using conventional technology. Pod Ceal DC™ was applied three weeks before harvesting on... A. Melnitchouck

35. Assessment Of The Success Of Variable Rate Seeding Based On EMI Maps

  Good plant establishment is the critical first step in growing a crop. To achieve this, the correct seed rate must be calculate. This is done by assessing the optimum target plant population per m² and then making an estimate of any  losses over winter. Losses will depend on the quality of seedbed created which is related to texture, stoniness and compaction of the soil. If there is any variation in these field characteristics then the correct see... S. Griffin, M. Darr

36. Attaching Multiple Conductivity Meters To An Atv To Speed Up Precision Agriculture Soil Surveys

Ground conductivity meters are used in a number of precision agriculture applications, including the estimation of water content, nutrient levels, salinity and depth of topsoil. Typically the Geonics EM38 conductivity meter, and to a lesser extent the EM31, are used for soil surveys. Most conductivity surveys involve towing a ground conductivity meter behind an all-terrain vehicle (ATV). In some situations, such as rutted or sloping fields, it is preferable to mount the conductivity meter dir... E. Morris, A. Clarke, S. Sunley, C. Hill, G. Cranfield

37. C And N Coupling Through Time: Soil C, N, And Grain Yield In A Long-term Continuous Corn Trial

Gains and losses of both C and N are important in agricultural landscapes. Temporal changes in the pattern of crop yield response to tillage and fertilizer input are commonly observed; often weakly interpreted, in long-term research. A 38-year-long monoculture corn (Zea mays L.) tillage (moldboard plow, no-tillage) by N rate (0, 84, 168, 336 kg N per hectare) trial was sampled to a depth of 100 cm, as was the surround... J. Grove, E.M. Pena-yewtukhiw

38. Canopy Reflectance Sensing As Impacted By Corn Hybrid Growth

  Detection of physical and chemical properties within the growing season could help predict the overall health and yield of a corn crop. Little research has been done to show differences of corn hybrids on canopy reflectance sensing. This study was conducted to examine these potential differences during the early- to mid-vegetative growth stages of corn on three different soil types in Missouri. Canopy sensing (Crop Circle) and SPAD chlorophyll met... A. Sheridan, K.A. Sudduth, N.R. Kitchen

39. Canopy Reflectance-based Nitrogen Management Strategies For Subsurface Drip Irrigated Cotton

Nitrogen (N) fertilizer management in subsurface drip irrigation (SDI) systems for cotton (Gossypium hirsutum L.) can be very efficient when N is fertigated on a near daily time step.  Determining the amounts and timing of the N fertigation, however are questions that weekly canopy reflectance measurements may answer.   The main objective of this 3-yr. study was to test two canopy reflectance strategies for adjusting urea ammonium nitrate (UAN) fertilizer in-season injections... K. Bronson

40. Carbohydrate Reserves On Tapping Systems And Production Of Hevea Brasiliensis

CARBOHYDRATE RESERVES ON TAPPING SYSTEMS AND PRODUCTION OF Hevea brasiliensis Chantuma P1., Lacointe A2., Kasempsap P3., Thanysawanyangkura S4., Gohet E5., Clément A6., Guilliot A7., Améglio T2., Thaler P8. and Chantuma A1. 1 Agriculture Scientist Senior, Chachoengsao Rubber Research Center, RRIT-DOA, Ministry of Agriculture and Cooperative, Sanam Chai Ket, Thailand. 2 INRA, UMR 547 PIAF, F-60100 Clermont-Ferrand, France. 3 Departmen... D. Chantuma, M. Zaller

41. Changes Of Data Sampling Procedure To Avoid Energy And Data Losses During Microclimates Monitoring With Wireless Sensor Networks

... J.C. Benavente, C.E. Cugnasca, M.F. Barros, H.P. Santos, G. Http://icons.paqinteractive.com/16x16/ac

42. Chlorophyll Fluorescence Approaches To Estimate The Vitality Of Plants

  Chlorophyll fluorescence is a now well-established technique for the analysis of photosynthesis in plants and algae. Fluorescence transients (Kautsky curves), exhibited by photosynthetic organisms under different conditions provide detail information about the structure, conformation and function of the photosynthetic apparatus, especially of photosystem II. The analysis of the so-called OJIP-curve and of the pulsed-aplitude-modulated fluorometry in conjunction with the satur... R. Valcke, D. Bierman

43. Citrus Greening Disease Detection Using Airborne Multispectral And Hyperspectral Imaging

Citrus greening disease (Huanglongbing or HLB) has become a major catastrophic disease in Florida’s $9 billion citrus industry since 2005, and continued to be spread to other parts of the U.S. There is no known cure for this disease. As of October 2009, citrus trees in 2,702 different sections (square mile) in 34 counties were infected in Florida. A set of hyperspectral imageries were used to develop disease detection algorithms using image-derived spectral library, the mixture tu... W. Lee, A. Kumar, R. Ehsani, C. Yang, L.G. Albrigo,

44. Cognitive Radio In Precision Agriculture

 This is an attempt to design a precision agriculture (PA) model, to control the required parameters in greenhouse with wireless sensor network (WSN). This proto type model of wireless sensor and actuators network is designed as per required parameters of available crops in a greenhouse. The design of the sensor node consists of sensors, a micro-controller and a low-powered radio module. Real-time data, enable the operators to characterise the operating parameters of the greenhouse and a... S.P. Nayse, D.D. Choudhari, V.M. Wadhai

45. Comparative Analysis Of Different Approaches

The efficiency of variable rate seeding (VRS) was confirmed in various crops. It is proven that corn requires increasing seeding rates in high-yielding zones, whereas soybeans need lower rates. However, the data for wheat appeared to be controversial. The aim of our experiment was to determine the most efficient strategy for variable rate fertilization and seeding in spring wheat in the conditions of Canadian Prairies. Two approaches were tested: based on Normalize Difference Vegetation Index... A. Melnitchouck

46. Comparative Performance Of Different Remote Sensing (RS) And Geographic Information System (GIS) Techniques Of Wheat Area And Production Estimates

  The major wheat producing countries in the world are India, China, USA, France, Russia, Canada and Australia. Global demand for wheat is growing @ 1% per year. Crop growth and productivity are determined by a large number of factors such as genetic potential of crop cultivar, soil, weather and management variables, which vary significantly across time and space. Early prediction of crop yield is important for planning and taking various policy decisions. Many countries use th... V.C. Patil, K.A. Al-gaadi

47. Comparison Of Different Vegetation Indices And Their Suitability To Describe N-uptake In Winter Wheat For Precision Farming

To avoid environment pollution and to minimize the costs of using mineral fertilizers an efficient fertilization system, tailored to the plant needs becomes more and more important. For that, the essential information can be determined by detecting certain crop parameters, like dry matter of the plant biomass above ground, N-content and N-uptake. By using fluorescence and reflectance measurements of the canopy and the mathematical analysis these parameters are appreciable. In three ... M. Strenner, F. Maidl

48. Comparison Of Spectral Indices Derived From Active Crop Canopy Sensors For Assessing Nitrogen And Water Status

... L. Shiratsuchi, R.B. Ferguson, J.F. Shanahan, V.I. Adamchuk, G. Slater

49. Comparison Of Three Canopy Reflectance Sensors For Variable-rate Nitrogen Application In Corn

In recent years, canopy reflectance sensing has been investigated for in-season assessment of crop nitrogen (N) health and subsequent control of N fertilization. The several sensor systems that are now commercially available have design and operational differences. One difference is the sensed wavelengths, although these typically include wavelengths in both the visible and near-infrared ranges. Another difference is orientation – the sensors most commonly used in the US are designed to... K.A. Sudduth, N.R. Kitchen, S.T. Drummond

50. Computer Model By A Linear Program And Via Internet To Select Agricultural Mechanized Systems Based On The Smallest Operational Cost

Computer programs have been used to help the farmers on the fleet selection. However, these computing models are based on the previous choice of the mechanized system made by the user. On this context, the purpose of this work was to develop a free computer model by a linear program and via internet to select agricultural mechanized systems ... F. Baio, ,

51. Connected Farm – Collecting And Collating Information From The Field

placeholder...

52. Contour Planting: A Strategy To Reduce Soil Erosion On Steep Slopes

  Practices that combine GPS-based guidance for terrain contouring and tillage for runoff detention have potential to increase water infiltration and reduce runoff.  The objective of this study was to investigate contour planting as a means to reduce soil erosion on steep slopes of the Columbia Plateau dryland wheat region.  An exploratory field study was conducted on a ... D.S. Long, S.B. Wuest, J.D. Williams, M.J. Bailey,

53. Cotton NDVIResponse To Applied N At Different Soil EC Levels

  Spatial variability for crop productivity in the southeastern US Coastal Plain is often due to differences in soil water holding capacity. An experiment was conducted to investigate the use of soil EC as an aid in the site-specific application of sidedress N to cotton. Treatments in the study consisted of three N rates (0, 34, and 112 kg N ha-1). Each treatment was replicated four times in plots that were 4 m wide (four cotton rows) and 350 m long. Soil EC was meas... P.J. Bauer

54. Cotton Precision Farming Adoption In The Southern United States: Findings From A 2009 Survey

The objectives of this study were 1) to determine the status of precision farming technology adoption by cotton producers in 12 states and 2) to evaluate changes in cotton precision farming technology adoption between 2000 and 2008. A mail survey of cotton producers located in Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, Texas and Virginia was conducted in February and March of 2009 to establish the use of precision farming tec... M. Velandia, D.F. Mooney, R.K. Roberts, B.C. English, J.A. Larson, D.M. Lambert, S.L. Larkin, M.C. Marra, R. Rejesus, S.W. Martin, K.W. Paxton, A. Mishra, C. Wang, E. Segarra, J.M. Reeves

55. Crop Rotation Impacts ‘Temporal Sampling’ Needed For Landscape-defined Management Zones

Yield and landscape position are used to delineate management zones, but this approach is confounded by yield’s weather dependence, causing yield to evidence temporal variability/lack of yield stability. Management options (e.g. crop rotation) also influence yield stability. Our objective was to build a model that would describe the influence of crop rotation on the temporal yield stability of landscape defined management zones. Corn (Zea mays L.) yield data for two rotat... E.M. Pena-yewtukhiw, J. Grove

56. Decision Making And Operational Planning

In order to automatize crop farming and its processes, a number of technological and other problems have to be solved. Agricultural field robots are in our vision to fulfill operations in fields. Robots involve number of technological challenges in order to be functional and reliable, but also systems controlling these robots are to be developed. In this paper automatic crop farming is the vision, and decision making models and operational planning is discussed. Study is carried out with simu... T. Oksanen, ,

57. Design And Construction Of A Computer Aided Control And Monitoring System For Greenhouses

ABSTRACT High expenditure is one the major disadvantages of using human or labor work force in agriculture division. Lack of accurate and precise processing, low working speed and the effect of physical tiredness on their efficiency are same other disadvantages. Using modern technology and replacing human work force with the automated mechanisms and instruments or intelligent machinery leads to the reduction of these expenses, enhancement of precision, accuracy and work speed ... A. Sanaei

58. Design And Experiment On Target Spraying Robot For Greenhouse

In greenhouse, the robot sprayers give rise to concern as they  reduce the labor intensity and improve the accuracy of  the spraying. This paper details the progress to date in the development of a precision robot sprayer. The precision robot sprayer is able to adjust both liquid and air volume to match, the branches contour and location of the greenhouse crops with two ultrasonic sensors  which ensures the position of the plants in the greenhouse. The spraying robot with ... W. Ma, C. Zhao, Q.U. Zaman, D. Zach

59. Designing Variable-width Filter Strips Using GIS And Terrain Analysis

Filter strips are a widely-used practice for reducing the load of pollutants that leave agricultural fields in overland runoff. They are typically designed to intercept uniformly-distributed runoff with a constant width strip along a field margin. Non-uniform runoff flow, however, can reduce the effectiveness of a constant-width filter strip. Non-uniform flow is created by topographic undulations and swales in fields that concentrate runoff into certain loca... M.G. Dosskey, T.G. Mueller

60. Determination Of Crop Injury From Aerial Application Of Glyphosate Using Vegetation Indices And Geostatistics

Injury to crops caused by off-target drift of glyphosate can seriously reduce growth and yield, and is of great concern to farmers and aerial applicators. Determining an indirect method for assessing the levels and extent of crop injury could support management decisions. The objectives of this study were to evaluate multiple vegetation indices (VIs) as surrogate variables for glyphosate injury identification and to evaluate the combined use of Geostatistical methods and the VIs to asse... B. Ortiz, S.J. Thomson, Y. Huang, K. Reddy

61. Determining Whole-farm Conservation Solutions For Small Farms In Northeastern United States

Optimal water quality pollution control comes from locating critical nonpoint source pollution areas within a watershed and applying site-specific conservation practices. However, management decisions are implemented at the farm-level. While site-specific conservation practices are crucial for environmental protection, reduction strategies must have economic benefit to the producer if they are to be implemented and maintained. Increased fuel, fertilizer, and grain prices are greatly impacting... T.L. Veith, L.T. Ghebremichael

62. Developing An Active Crop Sensor-based In-season Nitrogen Management Strategy For Rice In Northeast China

  Crop sensor-based in-season N management strategies have been successfully developed and evaluated for winter wheat around the world, but little has been reported for rice. The objective of this study was to develop an active crop sensor-based in-season N management strategy for upland rice in ... Y. Yao, Y. Miao, S. Huang, M.L. Gnyp, R. Jiang, X. Chen, G. Bareth

63. Developing And Teaching A Site-specific Crop/soil Management Course

           Site-specific crop/soil management technologies have been available for over fifteen years. Consequently, there is a demand for classroom and laboratory education across a variety of agricultural disciplines in the University community. To meet this demand, a course was developed in 1998 to teach the basic concepts of site-specific crop/soil management. This class is designed as a upper level undergraduate and graduate class and generally has between 1... M. Cox, D. Roberts

64. Developing Of A Monitoring System Of Cutting, Carrying, And Transportation Of Sugar Cane In Order To Manage Fleet

In the productive process for obtaining sugar cane products, the costs associated to the activities of harvesting (cut), carrying and transport (CCT), represent great part of the final cost of the product. In order to reduce this costs new technologies should be adopted in the agricultural mechanization using precision agriculture methods. The use of the information technology combined with the use of intelligent components can help to improve the performance of machines and equipments ... D.G. Cerri, P.S. Magalh

65. Development And Application Of Gully Erosion Components Within The USDA Annagnps Watershed Model For Precision Conservation

A watershed scale assessment of the effect of conservation practices on the environment is critical when recommending conservation management practices to agricultural producers. The identification of all sources of sediment and subsequent tracking of the movement of sediment downstream is a necessary part of this assessment including the often overlooked contributions from gully erosion sources. Pollutant loading allocations established with comprehensive studies of all sediment so... R.L. Bingner, R.R. Wells, F.D. Theurer

66. Development Of A Decision Support System For Precision Areawide Pest Management In Cotton Production

  Crop models simulate growth and development, and provide relevant information for the routine management of the crop.  The use of crop models on large areas for diagnosing crop growing conditions or predicting crop production is hampered by the lack of sufficient spatial information about model inputs. Integrating crop models with other information technologies such as geographic information systems (GIS), variable rate technology, remote sensing, and global p... Y. Lan, W.C. Hoffmann, J. Westbrook, M. Zaller

67. Development Of A Nitrogen Requirement Algorithm Using Ground-based Active Remote Sensors In Irrigated Maize

Studies have shown that normalized difference vegetation index (NDVI) from ground-based active remote sensors is highly related with leaf N content in maize (Zea mays). Remotely sensed NDVI imagery can provide valuable information about in-field N variability in maize and significant linear relationships between sensor NDVI and maize grain yield have been found suggesting that an N recommendation algorithm based on NDVI could optimize N application. Therefore, a study was conducted using the ... T. Shaver, R. Khosla, D. Westfall

68. Development Of A Precision Sensing Sprayer For The Application Of Nitrogen Fertilizer To Turfgrass

  Normalized difference vegetation index (NDVI) may be very useful for turfgrass managers to measure turf quality and obtain an indirect measurement of turf N status. The objective of this research was to develop a Nitrogen Fertilization Optimization Algorithm (NFOA) for use in a turfgrass variable rate N applicator on bermudagrass [Cynodon dactylon (L.) Pers] fairways and creeping bentgrass (Agrostis stolonifera L.) greens in Oklahoma. Plots (0.9 X 1.5 ... J.Q. Moss, G.E. Bell, J.B. Solie, M.L. Stone, D.L. Martin, M.E. Payton

69. Development Of A Sensor Suite To Determine Plant Water Potential

The goal of this research was to develop a mobile sensor suite to determine plant water status in almonds and walnuts. The sensor suite consisted of an infrared thermometer to measure leaf temperature and additional sensors to measure relevant ambient conditions such as light intensity, air temperature, air humidity, and wind speed. In the Summer of 2009, the system was used to study the relationship between leaf temperature, plant water status, and relevant microclimatic information in an al... V. Udompetaikul, S. Upadhyaya, B. Lampinen, D. Slaughter

70. Development Of A System For Site-specific Nematicide Placement In Cotton

Nematode distribution varies significantly in cotton fields. Population density throughout a field is highly correlated to soil texture. Field-wide application of a uniform nematicide rate results in the chemical being applied to areas without nematodes or where nematode densities are below an economic threshold, or the application of sub-effective levels in areas with high nematode densities. The investigators have developed a “Site- Specific Nematicide Placement”... A. Khalilian, W. Henderson, J. Mueller, T. Kirkpatrick, S. Monfort, C. Overstreet

71. Development Of Batch Type Yield Monitor For Small Fields

 Abstract The yield monitor is intended to give the user an accurate assessment of yield variations y within a field. A yield monitor can assist grain producers in many aspects of crop management. A yield monitor by itself can provide useful information and enhance on-farm research. Yield data c... M. Singh, A. Sharma, G. Singh, P. Fixen

72. Development Of Ground-based Sensor System For Automated Agricultural Vehicle To Detect Diseases In Citrus Plantations

An integrated USDA-funded project involving Carnegie Mellon University, University of Florida, Cornell University and John Deere is ongoing, to develop an autonomous tractors for sustainable specialty crop farming. The research teams have come together to develop an automated system for detecting plant stress, estimating yields, and reducing chemical usage through precision spraying for specialty crops. The goals of the automation process are to reduce the tractor-related labor costs, r... S. Sankaran, R. Ehsani, A. Mishra, C. Dima

73. Development Of Unmanned Aerial Vehicles For Site-specific Crop Production Management

... Y. Huang, W.C. Hoffmann, Y. Lan, S.J. Thomson, B.K. Fritz

74. Does Pasture Longevity Under Direct Grazing Affect Field-scale Sorghum Yield Spatial Variability In Crop-pasture Rotation Systems?

Crop yield spatial variability is usually related to terrain attributes and soil properties. In pasture systems, soil properties are affected by animal grazing. However, soil and terrain attributes relation with crop yield variability has not been assessed in crop-pasture rotat... V. Pravia, J.A. Terra, Roel

75. Dozen Parameters Soil Mapping Using The Real-time Soil Sensor

 A Real-time soil sensor (RTSS) can be predicted soil parameters using near-infrared underground soil reflectance sensor in commercial farms. ... M. Kodaira, S. Shibusawa, K. Ninomiya

76. Early Identification Of Leaf Rust On Wheat Leaves With Robust Fitting Of Hyperspectral Signatures

Early recognition of pathogen infection is of great relevance in precision plant protection. Disease detection before the occurrence of visual symptoms is of particular interest. By use of a laserfluoroscope, UV-light induced fluorescence data were collected from healthy and with leaf rust infected wheat leaves of the susceptible cv. Ritmo 2-4 days after inoculation under controlled conditions. In order to evaluate disease impact on spectral characteristics 215 wavelengths in the range of 370... C. R, T. Rumpf, K. B, M. Hunsche, L. Pl, G. Noga

77. Economic Analysis Of Auto-swath Control For Alabama Crop Production

With the rising costs of fertilizer and pesticides and a push towards increasing environmental stewardship, farmers are seeking means to save money while preserving the environment and wildlife habitat. One technology that aids in remedying these concerns is auto-swath control. This investigation evaluates overlap savings using this technology on different application equipment and resulting in economic savings for those adopting it. Several field boundaries were obtained from across the stat... D. Mullenix, A.M. Troesch, J.P. Fulton, A.T. Winstead, S.H. Norwood

78. Economic Potential Of Monitoring Protein Content At Harvest And Blending Wheat Grain

  Precision agriculture has been primarily focused on the management of inputs but recently developed technologies that monitor grain quality at harvest create the opportunity to manage outputs spatially.  Provided specific product qualities achieve higher prices, monitoring, separation and blending may be economically justified. This paper analyzes the potential economic effects of blending different grain qualities at the farm level. We estimated sub-field spec... A. Meyer-aurich, M. Gandorfer, A. Weersink, P. Wagner

79. Economic Profitability Of Site-specific Pesticide Management At The Farm Scale For Crop Systems In Haute-Normandie (France)

 Modern agriculture requires decision making criteria applicable to different scales of territory in order to reconcile productivity and respect of the environment, particularly for pest management. Taking into account the recent ... O. Bourgain, C. Duval, J. Llorens

80. Economics Of Precision Agriculture For Wheat And Barley Cultivation In Hamedan, Western Iran

    Precision agriculture can influence agricultural operation economics. In this study, minimum economical farm sizes for producing irrigated/dry wheat and barley in... M. Lak, F. Khosro anjom, J. Tatge

81. Edxrfs-based Sensing Of Phosphorus And Other Mineral Macronutrient Distribution In Field Soils

Phosphorus (P) requirements for major agronomic crops have been currently based on a pre-plant mass balance method.  Fertilizer needs are estimated from crop needs, available soil P and other external nutrient inputs that include animal manure, crop residues, etc...  Thus, this approach uses f... T.H. Dao

82. Effect Of Nitrogen Application Rate On Soil Residual N And Cotton Yield

A long-term study was conducted on nitrogen application rate and its impact on soil residual nitrogen and cotton (FM960B2RF) lint yield under a drip irrigation production system near Plainview, Texas. The experiment was a randomized complete block design with five nitrogen application rates (0, 56, 112, 168 and 224 kg per ha) and five replications. The soil nitrogen treatment was applied as side dressing. Cotton yield, leaf N, seed N, soil residual nitrate, amount of irrigation, and rainfall ... M. Parajulee, D. Neupane, C. Wang, S. Carroll, R. Shrestha

83. Effect Of Precision Guided Cultivation On Weed Control In Wide Row Cropping Systems

Wide row cropping has been traditionally followed in summer crops but it is also becoming popular in winter crops such as chickpeas and lupins.  High precision guidance systems with 2 cm accuracy offer unique opportunities to cultivate closer to the row and increase weed control efficiency in wide row cropping systems. Two field experiments were conducted in chickpeas with a Real Time Kinematic Differential Global Positioning System (RTK-DGPS) controlled mechanical cultivation. Cultivati... M. Gupta, ,

84. Effect Of Sub-surface Drip Irrigation And Shade On Soil Moisture Uniformity In Residential Turf

Sub-surface irrigation in turf has advantages over traditional sprinkler systems. Evapotranspiration is reduced and water applied below the root zone promotes deeper root growth. Auditing such applications requires measurement of root-zone soil moisture. Data was taken in 2008 and 2009 on a private lawn in northern California that had just been rebuilt to include both sub-surface drip and overhead spray irrigation systems. A portable wave reflectometer was used to take geo-referenced soil moi... D. Kieffer

85. Embedded Sensing System To Control Variable Rate Agricultural Inputs

 This paper presents an embedded sensing system for agricultural machines to collect information about plants and also to control the application of fertilizer with variable rate in corn crop. The Crop Circle reflectance sensor was used with the aim to explore the spe... G.T. Tangerino, R.V. Sousa, A.J. Porto, R. . Inamasu, P. Pinkston

86. Energy-efficient Wireless Sensor Network System For Soil Moisture Information Collecting

Collecting field soil moisture information is the foundation of auto-irrigation. This paper introduced a soil moisture information collecting system based on wireless sensor network (WSN) technology and with application background of automatic drip irrigation for cotton field. Firstly, application background was analyzed and application requirement was defined. The system worked together with a drip irrigation system in cotton field. After study, it was found that the output of soil moisture ... R. Zhang, L. Chen, J. Guo, J.G. Warren, J.G. Warren

87. Estimating Crop Biomass And Nitrogen Uptake Using Cropspectm, A Newly Developed Active Crop-canopy Reflectance Sensor

  In-season variable rate nitrogen fertilizer application needs efficient determination of the nitrogen nutrition status of crops with high spatial and temporal resolution. A suitable approach to get this information fast and at low cost is proximal sensing of the light that is reflected from the crop canopy. CropSpecTM is an active vehicle mounted crop canopy sensor. Using pulsed laser diodes as light source, the sensor is designed to look at the crop at an ob... S. Reusch, J. Jasper, A. Link, J. Vollmar

88. Estimating Soil Moisture And Organic Matter Content Variabality Using Electromagnatic Induction Metod

  Abstract: Electromagnetic induction (EMI) methods are gaining popularity due to their non-destructive nature, rapid response and ease of integration into mobile platforms for assessment of the soil moisture content, water table depth, and salinity etc. The objective of this study was to estimate and map soil moisture content and organic matter content using Dua... A. Farooque, Q. Zaman, A.W. Schumann, D.C. Percival, T.J. Esau, T. Stauffer

89. Estimating Soil Productivity And Energy Efficiency Using Websoil Survey, Soil Productivity Index Calculator, And Biofuel Energy Systems Simulator

Soils have varying production capacities for a specific plant or sequence of plants under defined management strategies. The production capacity or “productivity” can be quantified as a mathematical function of a soils ability to sufficiently sustain plant ... K.D. Reitsma, T.E. Schumacher

90. Estimation Of Sugar Beet Yield Brfore Harvesting Using Meteorological Data And Spot Satellite Data

    In Japan, sugar beet is only cultivated in Hokkaido, the northernmost island. The area of sugar beet cultivation in Tokachi District is 30,000ha, which is equal to about 45% of the total national production area. Because sugar beet is suited to cool weather conditions, it is an important rotation crop in Hokkaido. The production of beet sugar in Hokkaido is about 640,000 tons, which is 75... C. Hongo, K. Niwa

91. Evaluation And Contrast Of An Auto Guidance System Operating On A Sugar Cane Harvester In Brazil

The change on the harvesting sugar cane operation from the manual to mechanized cut  increased the amount of sugar cane cut by the mill per day, but the operation increased the cane loss, which is left behind on the field. The purpose of this work was to contrast the accuracy achiev... F. Baio

92. Evaluation Of A Controlled Release N-P Fertilizer Using A Modified Drill For Variable Rate Fertilization

Base NP or NPK fertilization is a common practice in cereal production in Chile. Usually, a physical NPK blend is band applied with the seed at planting with the drill. Normal fertilizer rates vary from 400 to 500 kg ha-1; however, there is a tendency in the market to move from physical blend towards chemical blends (monogranule) and, more recently, to controlled release fertilizers (CRF). The CRF are usually recommended at very low rates, varying from 70 to 120 kg ha-1, however this rates ar... R.A. Ortega, J.F. Reyes, W. Esquivel, J. Orellana

93. Evaluation Of Different N Management Strategies Using A Tool For Fuzzy Multi Attributive Comparison Of Alternatives

Application of precision agriculture is related with choosing of optimal agrotechnilogy and, in particular, with definition of the best alternative of N management strategy. A potential satisfactory solution of this decision analysis problem could be the uses of multi attribute decision-making analysis based on fuzzy set theory and fuzzy logic (FMADA). This technique provides a means to achieve an optimal decision for real world problems which involve multiple alternatives and criteri... E. Krueger, D. Kurtener, D. Kurtener, R. Khosla

94. Evaluation Of The Multiplex® Fluorescence Sensor For The Assessment Of Corn Nitrogen Status

The Multiplex® is a new hand-held optical fluorescence sensor for non-destructive measurement of about 20 parameters descriptive of plant physiological status. The Multiplex is of potential value for in-season assessment of crop nitrogen status, but no evaluation has been released for that matter as of yet. An experiment was therefore conducted which consisted of four nitrogen fertilization treatments with 0, 20, 5... Y. Zhang, N. Tremblay

95. Evaluation Of Yield Maps Using Fuzzy Indicators

  The ultimate goal of application of yield maps is profitable crop output in many farming systems. Yield maps are the starting point in the precision farming system, and provide the final record indicating the effectiveness of any management changes. Researches on yield mapping shown, that positions and boundaries of zones with different levels ... E. Krueger shvetsova, D. Kurtener, D. Kurtener, H. Torbert

96. Experiencs Of Extension Education Via Online Delivery Of Programming Related To Precision Agriculture Technologies

This paper will describe the content and experiences teaching an extension education course on precision agriculture technologies via online delivery. The course was developed to be delivered in 16 weeks meeting one time a week online. There was also a one-day face-to-face hands-on session focused around 4 lab type activities related to GPS guidance, diagnosis, and setup and maximizing the usefulness of precision agriculture technologies. This course focuses on agricultura... D.K. Shannon

97. Extending “Precision AG” Technologies In Oklahoma

This is a placeholder for Brian Arnall's talk for A to Z...

98. Extending The Concept Of Precision Conservation To Restoration Of Rivers And Streams

Comprehensive water quality management in watersheds involves management of upland and riparian environments. Efforts to optimize environmental performance of agriculture through field-scale precision conservation should be complemented with riparian restorations to enhance capacities to ass... M. Tomer, T.M. Isenhart, D.E. James

99. Extension: Precision Ariculture On The Internet

This session will include an overall description of the new eXtension precision agriculture Web site. eXtension is an interactive learning environment delivering the best, most researched knowledge from land-grant university  across America. Session participants will learn about the Website, and how to participate in the continued site development. The precision agriculture eXtension Web site is a virtual platform for engage... J. Nowatzki, T. Brase

100. Farmer Perspectives Of Precision Agriculture In Western Australia

Many farmers in the Western Australian wheatbelt have successfully adopted guidance and yield mapping technologies. However they have so far avoided adopting variable rate technology (VRT).  While agronomists and farmers can determine the limiting factors to production, whether it is soil fertility, pH, plant available water capacity (PAWC) or others, they have less confidence in managing spatial variability. Although WA farmers understand the need to adopt these techniques they h... R. Mandel

101. Fluorescence Imaging Spectroscopy Applied To Citrus Diseases

Diseases are one of the most serious threats for citrus production worldwide. Sao Paulo, Brazil and Florida, USA, are the most important citrus producers and, both, are making efforts for citrus diseases control. Citrus canker is one of the serious diseases, caused by the Xanthomonas citri subsp. citri bacteria, that infects citrus trees and relatives, causing a large economic loss in the citrus juice production. Another important disease affecting the citrus production worldwide is the Huang... C. Wetterich, J. Belasque jr., L. Marcassa

102. From Rapideye's Spad In The Sky To N Application Maps

... R. Schulthess, K. Schelling, D. Weist

103. Generating Herbicide Effective Application Rate Maps Based On GPS Position, Nozzle Pressure, And Boom Section Actuation Data Collected From Sprayer Control Systems

The application of pre- and post- emergence burn-down herbicides (i.e., glyphosate) continues to increase as producers attempt to reduce both negative environmental impacts from tillage and input costs from labor, machinery and materials.  The use of precision agriculture technologies such as automatic boom section control allows producers to reduce off-target application when applying herbicides.  While automatic boom section control has provided benefits, pressure differences acro... J.D. Luck, A. Sharda, S.K. Pitla, J.P. Fulton, S.A. Shearer

104. GNSS Tracking Of Livestock: Towards Variable Fertilizer Strategies For The Grazing Industry

This study reveals the potential for GPS tracking in the grazing industry. By monitoring the locations and movement of livestock, times of peak grazing activity can be identified and these can in turn produce maps of preferred grazing areas, and by examining residency times provide an indication of spatial variability in grazing pressure. A comparison of grazing preference can be made to similarly inferred camping areas to understand the potential redistribution of nutrients within a paddock.... M.G. Trotter, D.W. Lamb, G.N. Hinch, C.N. Guppy

105. GPS Guidance Of Mechanized Site Preparation In Forestry Plantations: A Precision Forestry Approach

      Application of GPS guidance to mechanized site preparation in forestry plantations: a precision forestry approach   By Steve Husband        (Paper proposed for 10th International Conference   on Precision Agriculture 2010)   ... S.C. Husband

106. Gps Tracking Of Sheep To Investigate Shelter And Shade Use In Relation To Climatic Conditions

In Australia inclement weather contributes to losses of new-born lambs and recently-shorn sheep. Provision of forced shelter has been observed to reduce lamb losses by up to 10 percent and when given a choice, ewes preferentially seek shelter on offer for a period of approximately two weeks post shearing (Alexander et al. 1980). Given significant sheep losses can occur during adverse weather conditions a better understanding of sheep use of shelter and/or alternative ways of attracting sheep ... D. Taylor, , , , , ,

107. HLB Detection Using Hyperspectral Radiometry

The need for sustainable agriculture requires the adoption of low input, long-term and cost-effective strategies to overcome the adverse impact of disease and nutritional deficiencies on citrus groves. In this context, early detection of diseased trees has become an important topic in the citrus industry. Multiple factors make field assessment of disease conditions a challenging task: the non-specific nature of many symptoms, the possibility of having localized affections in only certain area... J. Gonzalez-mora, C. Vallespi gonzalez, R. Ehsani, C.S. Dima, G. Duhachek

108. Hyperspectral Imaging Of Sugar Beet Symptoms Caused By Soil-borne Organisms

The soil-borne pathogen Rhizoctonia solani and the plant parasitic nematode Heterodera schachtii are the most important constraints in sugar beet production worldwide. Symptoms caused by fungal infection are yellowing of leaves and rotting of the beet tuber late in the cropping season. Nematode afflicted plants show stunted growth early in the cropping season and also leaf wilting late in the season when water stress often sets in. Due to the low mobility of soil-borne organisms, they are ide... C. Hillnhuetter, A. Mahlein, R.A. Sikora, E. Oerke

109. Impact of Crop Yield Limits and Precision Agriculture on Global Food Security and Conservation of Natural Resources

blank... K. Cassman

110. Impact Of Winter Grazing On Forage Biomass Topography Soil Strength Spatial Relationships

Spatial relationships between soil properties, forage productivity, and landscape can be used to manage site-specific grazing. Soil penetration resistance and forage biomass were collected for three years in winter grazing experiment. The three ha experimental area was divided into six paddocks, hay was cut twice per year in the months of May and June, and forage stockpiled after the second cutting. Animals were admitted to paddocks at the end of November, at a stocking r... E.M. Pena-yewtukhiw, D. Mata-padrino, W. Bryan

111. Indirect Measurement Of Creeping Bentgrass N, Chlorophyll, And Color For Precision Golf Green Management

Indirect measurement of turfgrass tissue through optical sensing may provide golf course managers with non-destructive and relatively simple real-time measurements of golf green N requirements. The objective of this study was to determine the effect of N rate on ‘Crenshaw’ creeping bentgrass (Agrostis stolonifera L.) tissue N, chlorophyll concentration, and color using the GreenSeeker (NTech Industries, Ukiah, CA) handheld sensor... J.Q. Moss, G.E. Bell

112. Innovative Optical Sensors For Diagnosis, Mapping And Real-time Management Of Row Crops: The Use Of Polyphenolics And Fluorescence

Force-A’s Dualex® leaf-clips and Multiplex® proximal optical sensors give rapid and quantitative estimations of chlorophyll and polyphenolics of crops by measuring the fluorescence and absorption properties of these molecules. The in vivo and real-time assessments of these plant compounds allow us to define new indicators of crop nitrogen status, health and quality. The measurements of these indicators allow consultants and farmers to monitor the nitrogen status of row crop... V. Martinon, , C. Duval, J. Fumery

113. Integrated Land Management – ICT Solutions & Business Models

  PROGIS and Adcon have developed a comprehensive solution to address the major challenges of our time: improve daily agricultural practice on all levels, increase and secure food supplies, take care of the environment and manage ever increasing risks, while last not least assist in fighting global warming.   In all of the above agriculture is playing a key role, but the methods of the past will no longer be adequate. Information technology is the n... W. Mayer, B. Pacher

114. Interaction Between Air Spray Drift And Climatic Conditions Creating Drift Map Related To The Aerial Application Of Pesticides Using Low Volumes In Brazil

Between 30 to 50% of the pesticides total applied over agricultural areas can be lost by the air, depending of the applying conditions, by the spray drift action. This spray drift problem is increased when the field is too close to the urban locations, bringing environmental contamination, and when the application is made with oil on the tank mixture. The society demands ... F. Baio, U. Antuniassi

115. Interest Of 3D Modeling For Lai Retrieval From Canopy Transmittance Measurements: The Cases Of Wheat And Vineyard

Remote sensing techniques are now widely used in agriculture, for cultivar screening as well as for decision making tools. Empirical methods relate directly the remote sensing measured values to crop characteristics. These methods are limited by the important amount of ground data necessary for their calibration. Their validity domain is generally not very well defined as well as the associated uncertainties. Conversely, radiative transfer models allow simulating a wide range of conditions, a... B. De solan, R. Lopez lozano, K. Ma, F. Baret, B. Tisseyre

116. Interpretation Of Thinking Process In Farmer’s Decision

An idea of knowledge management is composed of (1) defining the four steps of recognition: data, information, knowledge and wisdom, (2) decision-make actions of evidence mining and context making, (3) system makeup of input and output on management. In simulating expert farmers’ practiced, five factors of farming system and eleven units of thinking were derived. The five factors are crop, field, techno... S. Shibusawa

117. Inversion Of Vertical Distribution Of Chlorophyll Concentration By Canopy Reflectance Spectrum In Winter Wheat

          The objective of this study was to investigate the inversion of foliage chlorophyll concentration(Chl) vertical-layer distribution by bidirectional reflectance difference function (BRDF) data, so as to provide guidance on the application of fertilizer. The ratio of transformed chlorophyll absorption reflectance index (TCARI) to optimized soil adjusted vegetation index (OSAVI) was named as canopy chlorophyll inversion index (CCII) ... W. Huang, C. Zhao

118. Investigating Profile And Landscape Scale Variability In Soil Organic Carbon: Implications For Process-oriented Precision Management

Mitigation of rising greenhouse gases concentrations in the atmosphere has focused attention on agricultural soil organic C (SOC) sequestration. However, field scale knowledge of the processes and factors regulating SOC dynamics, distribution and variability is lacking. The objectives of this study are to characterize the pr... D.R. Huggins,

119. Investigation Of Crop Varieties At Different Growth Stages Using Optical Sensor Data

Cotton, soybean and sorghum are economically important crops in Texas. Knowing the growing status of crops at different stages of growth is crucial to apply site-specific management and increase crop yield for farmers. Field experiments were initiated to measure cotton, soybean and sorghum plants growth status and spatial variability through the whole growing cycle. A ground-based active optical sensor, Greenseeker®, was used to collect the Normalized Difference Vegetation Index (NDVI) da... H. Zhang, Y. Lan, J. Westbrook, C. Suh, C. Hoffmann, R. Lacey

120. Is A Nitrogen-rich Reference Needed For Canopy Sensor-based Corn Nitrogen Applications?

The nitrogen (N) supplying capacity of the soil available to support corn (Zea mays L.) production can be highly variable both among and within fields. In recent years, canopy reflectance sensing has been investigated for in-season assessment of crop N health and fertilization. Typically the procedure followed compares the crop in an area known to be non-limiting in N (called a N-rich area) to the crop in areas inadequately fertilized. Measurements from the two areas are used to ... N.R. Kitchen, K.S. Suddth, S.T. Drummond

121. Is Precision Agriculture Feasible In Cocoa Production In Ghana? : The Case Of “Cocoa High Technology Programme” In The Eastern Region Of Ghana

  Ghana is the second largest producer of cocoa in the world supplying 25% of the world’s cocoa, thus cocoa production contributes significantly to the economy of ... M. Bosompem, J.A. Kwarteng, E. Ntifo-siaw

122. Isobus Demonstrator And Working Environment For Agricultural Engineering Education

ISOBUS is the international standard for communication on agricultural equipment. In practice, however, a manufacturer independent tractor-implement communication is still a significant problem. This aspect has been identified as a major hindrance for the transfer of research results into products for precision farming.  As a consequence the ISOBUS standard should strongly be included in education and research, which is the focus of this work. &nb... A. Ruckelshausen, T. Dzinaj, T. Kinder, D. Bosse, R. Klose

123. Laboratory Evaluation Of Ion-selective Electrodes For Simultaneous Analysis Of Macronutrients In Hydroponic Solution

... H. Kim, , , , K.A. Sudduth

124. Land Information System Of Precision Farming In Mongolia Using Remote Sensing And Geographical Information System

    Remote sensing (RS) and geographic information system (GIS) technologies have been of great use to planners in planning for efficient use of natural resources at national, sub region and rural levels.   RS can be used for precision farming in a number of ways for providing input supplies and variability management through decision support system.   GIS is the principal technology used to integrate spatial data... B. Erdenee, B. Batbayar, R. Tateishi

125. Landscape Position And Climatic Gradient Impacts On Carbon Turnover in Dryland Cropping Systems in Colorado

  Soil organic carbon has decreased in cultivated wheat-fallow systems due to increased carbon oxidation, low carbon input and soil erosion.  Implementation of more intensive cropping with no-till management has reversed the trend in soil carbon loss.  Our objective in this presentation is to review the effects of landscape position on soil carbon status as related to intensification of cropping system.  Our analysis wi... G. Peterson, D. Westfall, L.A. Sherrod

126. Low Cost High-resolution Aerial Photogrammetric Techniques For Precision Agriculture In Latin American Countries

One of the first steps in precision agriculture is to obtain aerial images of an area of interest to determine soil units and management zones. Aerial and remote sensing information, digital elevation models and other spatial data are often inexistent in planning offices in Latin American countries and, up to now, enhancement and modifications have not been integrated into smaller scaled planning operation such as farming. High resolution remote sensing images from scanning satellites like Qu... J.S. Perret, O.E. arriaza, M.E. D, J. Aguilar

127. Management Of Remote Imagery For Precision Agriculture

Satellite and airborne remotely sensed images cover large areas, which normally include dozens of agricultural plots. Agricultural operations such as sowing, fertilization, and pesticide applications are designed for the whole plot area, i.e. 5 to 20 ha, or through precision agriculture. This takes into account the spatial variability of biotic and of abiotic factors and uses diverse technologies to apply inputs at variable rates, fitted to the needs of each small defined area, i.e. 25 to 200... L. Garcia-torres, D. Gomez-candon, J.J. Caballero-novella, J.M. Pe, M. Jurado-exp, I. Castillejo-gonz, A. Garc, F. Lopez-granados, L. Prassack

128. Mapping Soil Salinity Using Cokriging Method In Arsanjan Plain, Southern Iran

  Salt-affected landscapes are highly sensitive to changes in climatic, edaphic and hydrological conditions in time and space in semi-arid regions such as Arsanjan plain, southern Iran. The objective of this study was to combine digital satellite data with ground based measurements of ECe by cokriging method to possibility improve the soil salinity maps of study area. Soil samples in the 85 sampling site (10187 ha)were collected from 0-30 cm depths, georefrenced using GPS recei... M.P. Baghernejad, M.M. Emadi

129. Mapping The Effect Of Food Prices, Productivity And Poverty In The Development Domains Of Nigeria

  Poverty remains the major obstacle to economic emancipation and achievement of development agenda in Nigeria. Worse still, rising food prices pose a major threat to feeding the teeming population in Nigeria. Declining food production, high population growth, and negative food trade balance combine to worsen the food and poverty situations in Nigeria. We stand on the premise that surging and volatile food prices could have a hardest hit on those who could not afford it –... O.E. Olayide, A.E. Ikpi, V.O. Okoruwa, , T. Alabi, T. Omodele

130. Matching Nitrogen To Plant Available Water For Malting Barley On Highly Constrained Vertosol Soil

Crop yield monitoring, high resolution aerial imagery and electromagnetic induction (EMI) soil sensing are three widely used techniques in precision agriculture (PA). Yield maps provide an indication of the crop’s response to a particular management regime in light of spatially-variable constraints. Aerial imagery provides timely and accurate information about photosynthetically-active biomass during crop growth and EMI indicates spatial variability in soil texture, salinity and/o... B. Sauer, C.N. Guppy, M.G. Trotter, D.W. Lamb, J.A. Delgado

131. Measuring Multi-depth Soil Moisture Content In A Vertisol Soils With EM38

Over the years, electromagnetic induction sensors, such as EM38, have been used to monitor soil salinity or local electrical conductivity (ECa) and their output has been instrumented in establishing models for depth profiling of ECa. In the previous work both the forward propagation and inverse matrix approaches offered potential to produce depth profiles of soil ECa. However, it remains a question whether EM38 is able to measure v in different depths. This present study concerns itse... B. Hossain

132. Mepiquat Chloride Application On Cotton At Variable Rate

Mepiquat chloride (1,1-dimethylpiperidinium chloride) are used to control excessive vegetative growth in cotton (Gossypium hirsutum L.) broadcast sprayed by ground or air. As proven by previous researches the variability of the cotton plants height in the field is large enough to justify the application of Mepiquat at variable rate. The major advantages of it are: (i) yield increase; (ii) economy of the applied input; (iii) reducing the potential of environmental pollution. The main objective... P.S. Magalhaes, ,

133. Minimizing On-farm Point Source Contamination Of Pesticides Using The “Biobed” Method

  Microorganisms play a vital role in maintaining the environmental quality through their metabolic activities. The highly versatile metabolic capabilities of fungi and bacteria can be used to reclaim polluted ecosystems. A variety of biological, chemical, and physical methods have been used for degradation and detoxification of pesticides. However, conventional clean- up methods are costly and not always effective. Agrochemical storage and handling practices have been targeted... F. Eivazi

134. Modeling Soil Carbon Spatial Variation: Case Study In The Palouse Region

Soil organic carbon (Cs) levels in the soil profile reflect the transient state or equilibrium conditions determined by organic carbon inputs and outputs. In areas with strong topography, erosion, transport and deposition control de soil carbon balance and determine strong within-field differences in soil carbon. Carbon gains or losses are therefore difficult to predict for the average field. Total Cs ranged from 54 to 272 Mg C ha-1, with 42% (range 25 to 78%) of Cs in the top 0.3-m of the so... A.R. Kemanian, D.R. Huggins, D.P. Uberuaga

135. Monitoring Dairy Cow Activity With GPS-tracking And Supporting Technologies

  Nutrient loss from dairy farms is an issue of serious concern to most dairy farmers around the world. On grazed systems such as those practiced in New Zealand animal excreta has been identified as a major source of nutrient loss, which for nitrogen (N) relates to cattle urine in particular.  A study was commissioned to examine nutrient transfer around dairy farms associated with the cows with a view to developing improved precision nutrient application... I. Draganova, I.J. Yule, K. Betteridge, M.J. Hedley, K.J. Stafford

136. Multi, Super Or Hyper Spectral Data, The Right Way From Research Toward Application In Agriculture

Remote sensing provides opportunities for diverse applications in agriculture. One consideration of maximizing the utility of these applications, is the need to choose the most efficient spectral resolution. Picking the optimal spectral resolutions (multi, super or hyper) for a specific application is also influenced by other factors (e.g., spatial and temporal resolutions) of the utilized device. This work focuses mainly ... D.J. Bonfil, I. Herrmann, A. Pimstein, A. Karnieli

137. Multiplex : A New Diagnostic Tool For Management Of Nitrogen Fertilization Of Turfgrass

Multiplex is a fluorescence-based optical sensor that measures in real time and in vivo the leaf content of compounds such as chlorophyll and several families of polyphenols (anthocyanins, flavonoïds, hydroxycinnamic acids). We propose here to show that the measurement of leaf chlorophyll and flavonoïd content permits us to evaluate nitrogen status of turfgrass. Actually, experiments have shown that chlorophyll content increases whereas flavonoïd content decreases with increase... S. Lejealle

138. Multisensor Data Fusion Of Remotely Sensed Imagery For Crop Field Mapping

  A wide variety of remote sensing data from airborne hyperspectral and multispectral images is available for site-specific management in agricultural application and production. Aerial imaging system may offer less expensive and high spatial resolution imagery with Near Infra-Red, Red, Green and Blue spectral wavebands. Hyperspectral sensor provides hundreds of spectral bands. Multisensor data fusion provides an effective paradigm for remote sensing applications by sy... Y. Lan, H. Zhang, C. Yang, D. Martin, R. Lacey, Y. Huang, W.C. Hoffmann, P. Moulton

139. Near Real-time Meter-resolution Airborne Imagery For Precision Agriculture: Aerocam

Precision agriculture often relies on high resolution imagery to delineate the variability within a field. Airborne Environmental Research Observational Camera (AEROCam) was designed to meet the needs of agriculture producers, ranchers, and researchers, who require meter-solution imagery in a near real-time environment for rapid decision support. AEROCam was developed and operated through a unique collabor... X. Zhang, C.R. Streeter, H. Kim, D.R. Olsen

140. Networking Advances Emerging Agricultural Technologies

  Innovative Nebraska farmers and agribusinesses partnered with University of Nebraska-Lincoln (UNL) extension in 2001 to form the Nebraska Agricultural Technologies Association (NeATA). UNL Extension faculty and NeATA members have collaborated for nearly a decade to further agriculturists' understanding and adoption of emerging agricultural technologies via machinery/technology field days, hands-on GIS/GPS computer workshops, aerial imagery experiential learning... D.L. Varner

141. New Geospatial Technologies For Precision Farming

... K. Charvat, J. Cepicky, P. Gnip

142. New Power-leds Based Illumination System For Fertilizer Granule Motion Estimation

Environmental problems have become more and more pressing in the past twenty years particularly with the fertilization operation, one main contributor to environmental imbalance. The understanding of the global centrifugal spreading process, most commonly used in Europe, can contribute to provide essential information about fertiliser granule deposition on the soil. This last one can be predicted using a ballistic flight model and several fertilizer characteristic’s determinat... F. Cointault, B. Hijazi, J. Dubois, J. Vangeyte, M. Paindavoine

143. Nitrogen And Water Stress Impacts Hard Red Spring Wheat (Triticum Aestivum) Canopy Reflectance

  Remote sensing-based in-season N recommendations have been proposed as a technique to improve N fertilizer use efficiency. Remote sensing estimation of South Dakota hard red spring wheat N requirements needs assessment. Research objectives were: (1) determine the effect of an in-season N application on grain yield, yield loss to nitrogen stress (YLNS), and grain protein; and (2) assess if remote sensing collected at different growth stages may be used to predict yie... C.L. Reese, D.E. Clay, D.L. Beck, S.A. Clay, D.S. Long, M. Shahinian

144. Nitrogen Loss In Corn Production Varies As A Function Of Topsoil Depth

  Understanding availability and loss potential of nitrogen for varying topsoil depths of poorly-drained claypan soil landscapes could help producers make improve decisions when managing crops for feed grain or bio-fuels.  While it has been well documented that topsoil depth on these soils plays an important role in storing water for crop growth, it is not well known how this same soil... E. Allphin, N.R. Kitchen, K.A. Suddeth, A. Thompson

145. Normalized Difference Vegetative Index For Evaluating Turfgrass Color: A Comparison Of Two Handheld Devices

The normalized difference vegetative index (NDVI) is a commonly used light reflectance index in agriculture. For turfgrass research, color and herbicide phytotoxicity have historically been subjectively rated by human evaluators. Prior research has related NDVI to creeping bentgrass (Agrostis stolonifera L.) (R2 = 0.50) and tall fescue (Festuca arundinacea Schreb) (R2 = 0.80) color, and bermudagrass [Cynodon ... J.Q. Moss, X. Pan, Y. Tian, A. Hutchinson

146. Not Possible In Real Life: Precision Agriculture’s Future In 3D Virtual Worlds

Immersive 3D virtual worlds may be several years away from mainstream adoption, but thousands of scientists, educators, and visionary thinkers are already using these environments to network with colleagues, conduct research, create engaging simulations, and develop instructional models that can reach global audiences. Virtual reality offers the potential to create dynamic content that is either not possible to build in real life, or prohibitively expensive. Travel costs can be reduced by bri... L. Phillips

147. Nugis: The Development Of A Nutrient Use Geographic Information System

NuGIS is a project of the International Plant Nutrition Institute (IPNI). The goal was to examine sources of nutrients (fertilizers and manure) and compare this to crop removal. The project used GIS and database analysis to create maps at the state and county level and then used GIS to migrate the budget analysis to the local watershed and regional watershed levels. This paper will cover the sources of data used, how the data was processed to generate county level numbers, and how GIS was use... Q. Rund, R. Williams

148. Oenoview : Bringing Remote Sensing To Wine Quality

  Oenoview is born in 2006 from the partnership between Infoterra, an EADS Astrium company specialised in earth observation and the Institut Cooperatif de Vin, a French company of services for the wine industry. Oenoview is an operating precision viticulture service, dedicated to vine monitoring, harvest optimisation and input management. In France, this service implemented in 2009 on a commercial scale is now used by clients as different as larg... H. Douche, J. Rousseau

149. On The Go Soil Sensor For Soil Ec Mapping

This paper describes spatial variation maps of soil electrical conductivity (EC) obtained by both spectroscopic and capacitance methods using on the go soil sensor ( a real-time soil sensor -RTSS) SAS 1000, commercialized by Shibuya Kogyo Co. The experiments were conducted over a 2 year period on an experimental Hokkaido farm with an alluvial soil type. The comparison in soil EC records between the spectroscopy and the capacitance were also discussed. The spectroscopic approach used the soi... N. Sulastri, S. Shibusawa, M. Kodaira

150. On-combine Sensing Technique For Mapping Straw Yield Within Wheat Fields

Straw from production of wheat is available for conversion to bioenergy. However, not all of this straw is available for conversion because a certain amount must be returned to the soil for conservation. County and state-wide inventories do not account for variation within farm fields. In this study, a technique is described that applies information from on-combine crop sensors into estimation of straw yield across fields. Straw yiel... D.S. Long, ,

151. On-the-go Condition Mapping For Harvesting Machinery

In recent years control systems have been used to alleviate the task of harvesting machinery operators. Automation allows the operator to spend more time on other tasks such as coordinating transport. Moreover, such control systems guarantee constant performance throughout the day whereas an operator gets tired. The perfect control system anticipates on the harvest condition, just like an experienced operator would. The operator makes a visual assessment of the condition in terms of... T. Coen, J. De baerdemaeker, W. Saeys

152. Optical Based Sugarcane Yield Monitors

Several different optical sensors were investigated to detect sugarcane yield on a billet type sugarcane harvester. These sensors included an over-head optical sensor and a below-the-conveyor sensor. Both sensors indicated mass flow rate from a volume measurement of the cane on the conveyor slats. Both systems gave good results with linear line calibration equations and adjusted R-square values from 0.96 to 0.97. Weight wagon weights in the 0.6 to 1.6 metric ton range were estimated to 7.5% o... R. Price, R.M. Johnson, R.P. Viator

153. Optical Sensor Advancements In Latin America

Placeholder... S.B. Phillips

154. Optimizing N, P, K, And S Application Across Landscapes In The Northern Great Plains Using The Plant Root Simulator (PRS™ ) Technology.

  Early papers on precision farming focused on variable rate fertilization and variable spraying technology (Roberts, 1996).  The adoption of this 1st round of precision farming was acknowledged to be a “dead horse” (Mangold, 2000).  These authors put forward the notion that farmers needed better tools to decide if the intensive management of fertilizer would result in a significant reduction in input costs, or a significant increase in crop yie... K. Greer

155. Optimizing Vineyard Irrigation Through The Automatic Resistivity Profiling (arp) Technology. The Proposal Of A Methodological Approach

 In Tuscany, central Italy, grape cultivation and wine production (i.e., Chianti DOCG, Brunello di Montalcino) are farming activities appreciated worldwide. Differently from the past, irrigation is allowed to meet the intense physiological stress that may occur during seasons affected by the increasing climate variability, in order to guarantee quality product and hence high market profitability in many vines areas. Most ... P. Pagni, G.P. Ghinassi, M.P. Vieri

156. Pa Adoption By A Korean Rice Farming Group: Case Study Of Pyeongtaek City

Research on precision agriculture (PA) has been conducted in Korea for about 10 years since 1999. Most of the research was focused on rice paddy fields that were flooded, flat, and small sized (e.g., 30 m x 100 m). Accomplishment during the period includes investigation on spatial variability in soil, crop growth, and yield properties, application of imported sensors and variable rate applicators, and development of Korean version of these ... S. Chung, H. Yoo, S. Hong

157. PA Education: Using Social Media

Social media and web-based applications are gaining in popularity for disseminating information and communicating with others. The traditional method of transferring information through print and face-to-face meetings is now often supplemented and/or replaced by web-based outlets. The Alabama Precision Agriculture Program initiated a social media and web campaign as a method of distributing educational information while gaining recognition as a source for precision... A.T. Winstead, S.H. Norwood, J.P. Fulton, A.M. Adrian

158. Partial Weed Scouting For Exhaustive Real-time Spot Spraying Of Herbicides In Corn

Real-time spot spraying of weeds implies the use of plant detectors ahead of a sprayer. The range of weed spatial autocorrelation perpendicularly to crop rows is often greater than the space between the corn rows. To assess the possibility of using less than one plant detector scouting each inter-row, a one hectare field was entirely sampled with ground pictures at the appropriate timing for weed spraying. Different ways of disposing the detectors ahead of the sprayer were virtually tested. S... L. Longchamps, B. Panneton, G.D. Leroux, M. Simard, R. Theriault

159. Pasture Yield Measurement With The C-DAX Pasture Meter

A system of pasture yield measurement was developed for New Zealand’s pasture based, rotationally grazed farming systems. Pasture yield measurement is complex because the pasture biomass has to be measured in-situ,  pre and post grazing so that pasture consumption and utilisation can be calculated. The “Pasture Meter” was initially developed by Massey University and subsequently commercialised b... I.J. Yule

160. Performance Evaluation Of A Prototype Variable Rate Sprayer For Spot- Application Of Agrochemicals In Wild Blueberry Fields

  Wild blueberry yields are highly dependent on agrochemicals for adequate weed control. The excessive use of agrochemicals with uniform application in significant bare spots and plant areas has resulted in increased cost of production. A cost-effective automated prototype variable rate (VR) sprayer was developed for spot-application (SA) of agrochemicals in a specific section of the sprayer boom where the weeds have been detected. The weed patches were mapped with an RTK-... Q. Zaman, A.W. Schumann, D.C. Percival, T.J. Esau, S.M. Read

161. Performance Evaluation Of Off-shelf Range Sensors For In-field Crop Height Measurement

Abstract: In-season plant height is a good predictor of yield potential, which needs to be measured with techniques of high spatial resolution and accuracy. In this study, systematic performance evaluations were conducted on three types of commercial range sensors, an ultrasonic sensor, a laser range finder and a range camera on plant height measurement, under laboratory and field conditions. Results showed that the average errors between the measured heigh... N. Wang, Y. Shi, R.K. Taylor

162. Performance Of The Veris Nir Spectrophotometer For Mapping Soil C In The Palouse Soils Of Eastern Washington

Recent advances in sensing technology have made measuring and mapping the dynamics of important soil properties that regulate carbon and nutrient budgets possible. The Veris Technologies (Salinas, KS) Near Infrared (NIR) Spectrometer is one of the first sensors available for collecting geo-referenced NIR soil spectra on-the-go. Field studies were conducted to evaluate the performance of the Veris NIR in wheat grown under both conventional and no-till management in the Palouse region of easter... F. Pierce, E.M. Perry, S.L. Young, H.P. Collins, P.G. Carter

163. Precision Ag In New Zealand

  To date New Zealand farmers do not realize how involved they are in Precision Agriculture (PA). As arable farmers we know how many kilograms of nitrogen (N) it takes to grow a tonne of wheat, how many kilograms of seed we can produce for every millimetre of water that is applied (through irrigation and/or rainfall) and yet we don’t believe we are involved in PA. As dairy farmers we are matching feed requirements to the specific production level of individual cows....

164. Precision Agricultural Branding Using Near-infrared Spectroscopy System

... Y. Kojima, S. Shibusawa, R. Fusamura, M. Sonoda

165. Precision Agriculture Development In Canada

This poster provides an overview of precision agriculture development in Canada.  It focuses on the specific practices of auto steer tracking and variable rate nutrient application in the prairie region.  The development of these practices has been largely driven by technology innovation and private sector crop consultants and equipment providers.  Nevertheless, academia and government have supported this development through research since the 1990’s and funding incentive... D. Haak

166. Precision Agriculture Education Program In Nebraska

With the cost of agricultural inputs and the instability of commodity prices increasing, demand is growing for training in the essential skills needed to successfully implement site-specific crop management. This set of skills is uniquely interdisciplinary in nature. Thus, it is essential for potential users of precision agriculture to understand the basics of geodetic and electronic control equipment, principles of geographic information systems, fundamenta... V.I. Adamchuk, R.B. Ferguson

167. Precision Agriculture In New Zealand’s Farming Systems

  To date New Zealand farmers do not realize how involved they are in Precision Agriculture (PA). As arable farmers we know how many kilograms of nitrogen (N) it takes to grow a tonne of wheat, how many kilograms of seed we can produce for every millimetre of water that is applied (through irrigation and/or rainfall) and yet we don’t believe we are involved in PA. As dairy farmers we are matching feed requirements to the specific production level of individual cows. We ar... C. Mackenzie, C. Mackenzie

168. Precision Conservation: Site-specific Trade-offs Of Harvesting Wheat Residues For Biofuel Feedstocks

Crop residues are considered to be an important lignocellulosic feedstock for future biofuel production. Harvesting crop residues, however, could lead to serious soil degradation and loss of productivity. Our objective was to evaluate trade-offs associated with harvesting residues including impacts on soil quality, soil organic C and nutrient removal. We used cropping systems data collected at 369 geo-referenced points on the 37-ha Washington ... D.R. Huggins,

169. Precision Conservation: Using Precision Agriculture Technology To Optimize Conservation And Profitability In Agricultural Landscapes

USDA Farm Bill conservation programs provide landowner incentives to remove marginal lands from agricultural production and reestablish them to natural vegetation (e.g., native grasses, trees, etc.). However, removal of arable land from production imposes an opportunity cost associated with loss in revenue from commodities that otherwise would have been produced. Northern bobwhite (bobwhite) populations have shown a positive response to numerous conservation programs implemented in agricultur... M.D. Mcconnell, L.W. Burger, W. Givens

170. Precision Farm Labour Supply For Effective Cocoa Production In Nigeria

In Nigeria, labour is an essential factor in farming. In view of the importance of labour in agriculture, this study was carried out to investigate the sources of labour used in cocoa production. Multi-stage sampling technique was used to select 100 cocoa farming households. The first stage was a random selection of two Local Government Areas (LGAs), the second stage was the selection of two communities from each of the LGAs while the third stage involved the random selection of twenty five c... J. Lawal

171. Precision Irrigation To Improve Water Use Efficiency

  Efficient water use is the key to sustainable management of water resources.  Over irrigating is wasteful and can lead to leaching of fertilizers and other potential pollutants into both underground and surface water supplies, whereas under irrigation leads to reduced yields.  The spatial and temporal characterization of crop water consumption is important for efficient management of water resources and allows water delivery to match agricultural demands. ... S. White, J. Adkins, C. Whaley

172. Precision Livestock Management: An Example Of Pasture Monitoring In Eastern Australian Pastures Using Proximal And Remote Sensing Tools

  Pasture monitoring Australian rangelands by Remote Sensing   G.E.Donald.  CSIRO Livestock Industries, Locked Bag 1, Armidale NSW, 2350 Australia     A series of spatial models and datasets were jointly developed to estimate pasture biomass as feed on offer (FOO®) and pasture growth rate (PGR®) in the so... G.E. Donald, M.G. Trotter, D.W. Lamb, G. Levow, H.M. Van es

173. Precision Manure Management: It Matters Where You Put Your Manure

“Precision fertilizer management” has been around for more than a decade and is practiced widely in Colorado and elsewhere. By precision, we mean application of fertilizer at the right time, in the right place, and in the right amount. However, “Precision Manure Management” is a relatively new concept that converge the best manure management practices with precision nutrient management practices, such as variable rate nutrient application across site-specific managemen... M.E. Moshia, R. Khosla, J. Davis, D. Westfall

174. Precision Placement Of P And K

Placeholder...

175. Precision Weed Management Research Advancement In The Near East

  Precision weed control research received considerable attention since the introduction of global positioning systems (GPS). GPS and geographic information systems (GIS) technologies may assist with field monitoring, particularly; in deciding what weed species to monitor? What weed densities are bypassing critical thresholds? and where?  While advancements in precision agricultural research could be detected through the intensive publications in the developed world,... H. Ghosheh

176. Prediction Of Soil Moisture Content And Penetration Resistance Using Real-time Soil Meter

A real-time soil compaction meter that refers to the air injection subsoiler, is developed.  The final goal is to predict standarized soil compaction that is converted from soil moisture content, working resistance and working speed.  This experiment confirmed performance of predicting the soil moisture content and of measuring the working resistance was conducted.  The equipments of the meter are a working resistance measurement device received from the soil and a spectroscope... T. Kaho, M. Kodaira, S. Shibusawa

177. Primary Framework Of Diagnosis And Management For Wheat Production Based On The Online Telemonitoring Networks

  PRIMARY FRAMEWORK OF DIAGNOSIS AND MANAGEMENT FOR WHEAT PRODUCTION BASED ON THE ONLINE TELEMONITORING NETWORKS   Sun Zhong-fu, Du Ke-ming, Zhang Yan, Liang Ju-bao   Inst. of Environ. & Sustainable Develop. in Agriculture£¨IEDA£© Chinese... Z. Sun, ,

178. Profitability Of RTK Autoguidance And Its Influence On Peanut Production

Efficient harvest of peanuts (Arachis hypogea L.) requires that the digging implement be accurately positioned directly over the target rows. Small driving... K. Balkcom, B. Ortiz, J. Shockley, J.P. Fulton

179. Proper Implementation Of Precision Agricultural Technologies For Conducting On-farm Research

Precision agricultural technologies provide farmers, practitioners and researchers the ability to conduct on-farm or field-scale research to refine farm management, improve long term crop production decisions, and implement site-specific management strategies. However, the limitations of these technologies must be understood to draw accurate and meaningful conclusions from such investigations. Therefore, the objective of this paper was to outline the limitations of seve... J.P. Fulton, M.J. Darr, R.K. Taylor, T.P. Mcdonald

180. Quantifying Spatial Variability Of Indigenous Nitrogen Supply For Precision Nitrogen Management In North China Plain

... Y. Miao, Q. Cao, Z. Cui, F. Li, T.H. Dao, R. Khosla, X. Chen

181. RapidEye Satellite Imaging Services -- Ground Cover, Chlorophyll, and The Red Edge

placeholder...

182. Real World (on-farm) Implementation Of Sensor Based VRN In Mid-atlantic Corn Production

placeholder...

183. Real-time Calibration Of Active Crop Sensor System For Making In-season N Applications

... K.H. Holland, J.S. Schepers

184. Recision Management For Enhancing Farmer Net Returns With The Conservation Reserve Program

Yield maps have successfully been combined with economic principles in establishing precision guided recommendations for enrollment in the Conservation Reserve Program (CRP). This can and has resulted in greater net returns for farmers than not enrolling in CRP or enrolling all eligible land in CRP without the consideration of foregone economic opportunities (Stull et al. 2004). This study expands these concepts by recognizing the adaptive behavior of the farmer and opportunities resulting fr... C. Dillon, J. Shockley

185. Remote Estimation Of Gross Primary Production In Maize

There is a growing interest in the estimation of gross primary productivity (GPP) in crops due to its importance in regional and global studies of carbon balance. We have found that crop GPP was closely related to its total chlorophyll content, and thus chlorophyll can be used as a proxy of GPP in crops. In this study, we tested the performance of various vegetation indices for estimating GPP. The indices were derived from spectral data collected remotely but at close-range over a period of e... A.A. Gitelson

186. Research On Nutrition Detection Technology Of Soil And Leaf Of Citrus Based On Spectroscopic Techniques

The diagnosis technique of real-time lossless crop nutrition is the foundation and conditions for the precise and effective fertilization. Currently, the diagnosis of crop nutrition mainly relies on the routine chemical analysis of laboratory. Due to the complicated procedure, time-consuming, high cost and high professional technique requirement, it can hardly meet the need of precise variable fertilization technology. Spectrum technology is the technology of real-time and non-destructive tes... S. Yi, L. Deng

187. Revising Nitrogen Recommendations For Wheat In Response To The Need For Support Of Variable-rate Nitrogen Application

Sampling studies in North Dakota conducted from 1994 to 2003 showed that variable-rate N application could be practically directed with zone soil sampling. Results from variable-rate N studies using zone soil sampling were often less than rewarding due in part to the use of a whole-field predicted yield-based formula for developing the N recommendation in each zone. Nitrogen rate studies on spring wheat and durum were established in 2005 through 2009 to reexamine N recommendations. The result... D. Franzen, G. Endres, R. Ashley, J. Staricka, J. Lukach, K. Mckay

188. Revisited: A Case Study Approach For Teaching And Applying Precision Agriculture

Current agricultural students understand and are excited about new technologies, but often do not understand how precision agriculture can be applied to farming operations. A case-study approach that requires students to develop precision agriculture management practices which includes selecting equipment and assessing the financial feasibility could help students understand and apply precision agriculture. This paper revisits a case-study approach to teaching precision agriculture and descri... J.D. Williams, S.D. Mcgary, M. Waits

189. Rhizosphere Moisture Modulation By Water Head Precision Control

Abstract: A digital irrigation microcomputer system, designed to modulate rhizosphere moisture using ... M. Ohaba, S. Shibusawa

190. Road Map For Precision Agriculture In The Punjab, North-west India

Agricultural experimentation is both expensive and time consuming. It is necessary to reduce site-specific research and capitalize on the agricultural experience gained elsewhere by using soil maps and GIS-GPS (Geographic Information System - Global Positioning System) technology. Since in an agro-eco-subregion, soils in the same family require essentially the same management practices, maximum production results obtained in one soil family can be used as production targets for all soils belo... R. Kumar

191. Saltmed Model As An Integrated Management Tool For Precision Management Of Water, Crop, Soil, And Fertilizers

                 SALTMED-2009: A modelling tool for Precision Agriculture                                                    R. Ragab Centre for Ecology and H... R. Ragab

192. Satellite Based Energy Balance For Mapping Riparian Evapotranspiration

placeholder...

193. Sectioning And Assessment Remote Images For Precision Agriculture: The Case Of Orobanche Crenate In Pea Crop

  The software SARI® has been developed to implement precision agriculture strategies through remote sensing imagery. It is written in IDL® and works as an add-on of ENVI®. It has been designed to divide remotely sensed imagery into “micro-images”, each corresponding to a small area (“micro-plot”), and to determine the quantitative agronomic and/or environmental biotic (i.e. weeds, pathogens) and/or non-biotic (i.e. nutrient levels) indicator... L. Garcia-torres, D. Gomez-candon, J.J. Caballero-novella, M. Gomez-casero, J.M. Pe, M. Jurado-exp, F. Lopez-granados, I. Castillejo-gonz, A. Garc

194. Sensing The Inter-row For Real-time Weed Spot Spraying In Conventionally Tilled Corn Fields

The spatial distribution of weeds is aggregated most of the time in crop fields. Site-specific management of weeds could result in economical and environmental benefits due to he... L. Longchamps, B. Panneton, M. Simard, R. Theriault, T. Roger

195. Sensor And System Technology For Individual Plant Crop Scouting

Sensor and system technologies are key components for automatic treatment of individual plants as well as for plant phenotyping in field trials. Based on experiences in research and application of sensors in agriculture the authors have developed phenotyping platforms for field applications including sensors, system and software development and application-specific mountings.   Sensor and data fusion have a high potential by compensating varying s... A. Ruckelshausen, K.V. Alheit, L. Busemeyer, R. Klose, A. Linz, K. Moeller, F. Rahe, M. Thiel, D. Trautz, U. Weiss

196. Site Specific Management Of An Oxisol Cultivated With Corn For Application Of Lime And Gypsum

Due to the necessity to improve soil fertility diagnostic, the researchers have been searched for more efficient technologies on agronomic, economic and environmental aspects. One of these technologies is the use of the concept of site-specific for soil fertility management. This research was conducted in a farm field (100 ha) located in Corinto, Minas Gerais state. The soil is classified as clayey Oxisol, cropped with corn (Zea mays L.) and irrigated with a center-pivot sprinkler irrigation ... A. Coelho, T.F. Cunha, T.F. Cunha

197. Site-specific Fertilization Management: Influence Of The Past History Of The Addition Of Fertilizers On The Intra Field Variability Of The Rate Of P And K In The Soil.

 Site specific crop management adapts the fertilizer amount applied in relation to the intra field crop needs. In this context, tries were carried out under field conditions. The aim of the trials was to develop technico-economic baseline data and methodology of soil sampling for precision agriculture in Upper-Normandy. ... C. Duval, J. Llorens, C. Duval, C. Duval, S. Ta

198. Site-specific Management For Biomass Feedstock Production: Development Of Remote Sensing Data Acquisition Systems

Efficient biomass feedstock production supply chain spans from site-specific management of crops on field to the gate of biorefinery. Remote sensing data acquisition systems have been introduced for site-specific management, which is a part of the engineering solutions for biomass feedstock production. A stand alone tower remote sensing platform was developed to monitor energy crops using multispectral imagery. The sensing system was capable of collecting RGB and CIR images during the crop gr... T. Ahamed, L. Tian, Y. Zhang, Y. Xiong, B. Zhao, Y. Jiang, K. Ting

199. Site-specific Nematode Management For Potatoes In Idaho Using 1,3-dichloropropene; Experiences And Economics

Fumigation for nematode management in irrigated potato production systems of Idaho is widely practiced. Spatially uniform fumigation with large scale soil injection equipment is the traditional application method for Telone II. Plant-parasitic nematode species exhibit spatially variable population densities that provide an opportunity to practice site-specific fumigation to reduce chemical usage and production costs. Over the past 3 years 1200 ha of potato production has been site-specific fu... B.A. King, J.P. Taberna, jr.

200. Site-specific Phosphorus And Potassium Fertilization Of Alfalfa: Fertilizer Usage And Sampling Density Comparison

Alfalfa accounts for the largest cropping area in both the High Desert and Intermountain regions in California, and the use of site-specific management (SSM) can potentially improve farmers’ fertilization practices and crop nutritional status. These areas have limited to no studies regarding nutrient SSM, and variable rate (VR) fertilizer application has not been commonly used by farmers in either area. Considerable range of soil nutrient levels have... A. Biscaro, S. Orloff

201. Smoothness Index Of Thematic Maps

A thematic map shows the spatial distribution of one or more specific data themes for standard geographic areas. The thematic maps are generated to represent the studied variables, so interpolators are used to determine their values in places not sampled. It is usuall... C.L. Bazzi, E.G. Souza, D. Stiehl

202. Soil Organic Carbon Maintenance Requiremnets And Mineralizatyion Rate Constants: Site Specific Calcuations

  Over the past 100 years numerous studies have been conducted with the goal of quantifying the impact of management on carbon turnover. It is difficult to conduct a mechanistic evaluation of these studies because each study was conducted under unique soil, climatic, and management conditions.  Techniques for directly comparing data from unique studies are needed. This study discusses techniques for comparing data collected... D.E. Clay, G. Carlson, J. Tatge

203. Soil Quality Improvement Through Proper Combination Of Tillage, Nitrogen Fertilization And Cover Cropping Systems

No-tillage, N fertilization and cover cropping affect physical, chemical and biological qualities of soil. We investigated the effect of 15-yr of tillage systems, N fertilization and cover crops on soil organic matter, aggregation, bulk density and on microbial community in the sandy loam soil of central Italy. The soil in no-tillage (NT) system had 50% more organic matter and 3 folds higher aggregate stability than the soil in conventional tillage (CT) system. The NT system significantly inc... T.B. Sapkota

204. Soybean Canopy Response To Charcoal Rot In Arkansas: Observations Using Crop Circletm (ACS-470).

Charcoal Rot caused by Macrophomina phaseolina is a problem to soybean production, especially in hot and dry areas of southern US. As an approach to develop a fast assessment method of this soil-borne disease, soybean canopy reflectance was recorded with an active optical sensor, the Crop CircleTM ACS-470 in 2009 from a microplot field in Fayetteville, Arkansas. The microplot experiment was designed as a completely randomized factorial experiment with four cultivars, two ino... S.S. Kulkarni, M. Doubledee, S.G. Bajwa, J.C. Rupe

205. Spatial And Temporal Changes In Atrazine Degradation Rates In Soil

Atrazine is a widely used soil-applied herbicide to control many broadleaf and grassy weeds in corn, sugarcane, and non-cropland areas.  Atrazine is also found as a contaminant in surface and ground water.  One of the strengths and weaknesses of atrazine has been the long residual activity in the soil that provides good weed control but also increases the leaching of the herbicide.  In the las... D. Shaner

206. Spatial And Vertical Distribution Of Soil P, K, And Mg Content In A Vineyard Of The Do Ca Rioja Using Grid And Target Sampling Methods

  Knowledge of spatial variability of soil nutrient contents is very important to design a fertilization strategy based on the needs of the vine. Matching fertilization and nutritional plant needs is very important due to the influence of nutritional status of vineyards on productive and qualitative factors. The aim of this work was to study the spatial and vertical variability of P, K and Mg in a vineyard soil by two methods: (i) the grid sampling at three depth ranges (... O. Unamunzaga, A. Castell, G. Besga, R. Perez-parmo, A. Aizpurua

207. Spatial Livestock Research In Australia And New Zealand: Towards A Cooperative Research Model

  A number of researchers in Australia and New Zealand are working in the area of animal tracking as an important technological  step to gaining a deeper  understanding of animal behavior in various farmed and natural environments. The ultimate goals of the research vary from simply trying to understand how animals can be farmed more effectively to how animals could be controlled without fences. There are a number of parallels with the development of c... I.J. Yule

208. Spatial Mapping Of Penetrometer Resistance On Turfgrass Soils For Site-specific Cultivation

Site-specific management requires site-specific information.  Soil compaction at field capacity is a major stress on recreational turfgrass sites that requires frequent cultivation. Spatial mapping of penet... K. Rice, T. Carson, J. Krum, I. Flitcroft, V. Cline, R. Carrow

209. Spatial Modelling Of Agricultural Crops For Parallel Loading Operations

There is a trend in agricultural engineering towards high-performance harvesting machines with growing operating width and throughput. As much as performance and throughput are rising, the transportation units are characterized by increasing transportation volume. If harvesting and transport are combined in parallel operation (e.g. self-propelled forage harvester), the driver of the harvesting machine and the driver of the transport unit has to pay highest attention to the loading p... G. Happich, T. Lang, H. Harms

210. Spatial Variability Analyse And Correlation Between Physical Chemical Soil Attributes And Sugarcane Quality Parameters

With the high increment in the ethanol demand, the trend is that the planted area with sugar cane in Brazil will increase from the actual 7 million ha up to 12 million ha in 15 years. The sugar cane expansion demands, beyond the enlargement of the boundaries with the installation of new industrial units, better use of the production areas and improvement of the yield and quality, together with production costs reduction. In such a way, the adoption of Precision Ag... F. Rodrigues jr, P.S. Maglh, D.G. Cerri

211. Spatial Variability Of Crop And Soil Properties In A Crop-livestock Integrated System

The knowledge of spatial variability soil properties is useful in the rational use of inputs, as in the site specific application of lime and fertilizer. The objective of this work was to map and evaluate the spatial variability of the crop, soil chemical and physical properties. The study was conducted in 2 areas of 6.9 and 11.7 ha of a Typic Haplustox in Sao Carlos, SP, Brazil. The summer crops corn and sorghum were sowed together to the forage crop Brachiaria brizantha in the system of cro... A.C. Bernardi, C.R. Grego, R.G. Andrade, C.M. Vaz, L.M. Rabello, R.Y. Inamasu

212. Spatial Variability Of Important Soil Characteristics In Semiarid Ecosystems, A Case Study In Arsanjan Plain, Southern Iran

Timely information on the content and distribution of key soil nutrients in highly calcareous ecosystems is vital to support precision agriculture. Efficient tools to measure within-field spatial variation in soil are important when establishing agricultural field trials and in precision farming. Therefore, soil samples were collected at 0-30 cm depth in highly calcareous soils (Arsanjan plain) and chemically analyzed for nitrate (NO3-), e... M.P. Baghernejad, M.M. Emadi

213. Spatial Variability Of Measured Soil Properties Across Site- Specific Management Zones

The spatial variation of productivity across farm fields can be classified by delineating site-specific management zones. Since productivity is influenced by soil characteristics, the spatial pattern of productivity could be caused by a corresponding variation in certain soil properties. Determining the source of variation in productivity can help achieve more effective site-specific management, the objectives of this study were (i) to characterize the spatial variability of soil physical pro... M. Mzuku, R. Khosla, R. Reich, G. Http://icons.paqinteractive.com/16x16/ac, F. Smith, L. Macdonald

214. Spatial Variability Of Spikelet Sterility In Temperate Rice In Chile

Spikelet sterility (blanking) causes large economic losses to rice farmers in Chile. The most common varieties are susceptible to low air and water temperatures during pollen formation and flowering, which is the main responsible for the large year to year variation observed in terms of blanking and, therefore, of grain yield. The present work had for objective to study the spatial variability of spikelet sterility within two rice fields, during two consecutive seasons, and relate it to water... R.A. Ortega, D.E. Del solar, E. Acevedo

215. Spatial Variation Patterns Of Soil Properties And Winter Wheat Growth Parameters In China National Experiment Station For Precison Agriculture

Understanding of spatial patterns of soil properties and crop growth and their relationship is neccesary for variable-rate management of farmland in precision agriculture. This paper presents spatial variation patterns of soil properties such as depth of soil diagnostic horizons, cation exchange capacity, organic matter content, soil solution nutrients concentration, and winter wheat growth and yield parameters in China National Experiment Station for Precison A... X. Xue, L. Chen

216. Spatial-temporal Management Zones For Biomass Moisture

 Biomass handling operations (harvesting, raking, collection, and transportation) are critical operations within the agricultural production system since they constitute the first link in the biomass supply chain, a fact of substantial importance considering the increasingly involvement of biomass in bio-refinery and bio-energy procedures. Nevertheless, the inherent uncertainty, imposed by the interaction between environmental, biological, and machinery factors, makes the available sched... S. Fountas, D. Bochtis, C. Sorensen, O. Green, R. J, T. Bartzanas

217. Spatio-temporal Analysis Of Atrazine Degradation And Associated Attributes In Eastern Colorado Soils

Atrazine catabolism is an example of a rapidly evolved soil microbial adaptation. In the last 20 years, atrazine-degrading bacteria have become globally distributed, and many soils have developed enhanced capacities to degrade atrazine, reducing its half-life from 60 to a few days or less. While the presence of atrazine-degrading bacteria determine a soil's potential to catabolize at... M. Stromberger, R. Khosla, D. Shaner, D. Zach

218. Spectral Discrimination Of Early Dchinochloa Crasgalli And Echinochloa Crusgalli In Corn And Soybean By Using Support Vector Machines

    The key to realize precise chemical application is weed identification. This paper introduces a kind of multi-classification mode based on Support Vector Machines (SVM) and one-against-one-algorithm for weed seedlings (Dchinochloa crasgalli, and Echinochloa crusgalli) in corn and soybean fields. A handheld FieldSpec® 3 Spectroradiometer manufactured by ASD Inc., in USA was used to measure the spectroscopic data of the canopies of the seedlings of corn, soy... W. Deng, G. Wu

219. SPOT5 Multispectral Data Potentialities To Monitor Potato Crop Nitrogen Status At Specific Field Scale

The many challenges facing European agriculture and farm of tomorrow are such that they increasingly require the setting up of Decision Support Systems (DSS) that favour integrated crop management at farm or regional level. A valuable DSS for management of split fertilizer N applications was developed in Belgium for potato crop. It combines total N recommendation based on field predictive balance-sheet method along with Crop Nitrogen Status (CNS) monitoring through hand-held chlorophyll meter... J. Goffart, A. Leonard, D. Buffet, P. Defourny, L. Van den wyngaert

220. Study Of Nitrogen Fixation And Nodulation In Annual Medic(medicago Rigidula) In Inoculation With Foreign And Inside Root Symbiotic Bacteria

  Annual species of Medicago are important pasture legumes in western parts of iran. Their productions are affected by suitable soil Rhizobium meliloti strains and environmental conditions. The principle objective of this study was to find a suitable Rhizobium meliloti strain(s) for Medicago rigidula. Two experiments: one in the greenhouse and the other one on the field were conducted in 2006 to determine nodulation, and ni... E. Nabizadeh

221. Study On Application Of Wireless Sensor Networks For Precision Agriculture

  Abstract: The use of sensor network to achieve soil moisture real-time detection can provide the decision-making basis for precision agriculture. In this... G. Xu, L. Chen, R. Zhang, J. Guo, Y. Wang

222. Temporal Variability In Crop Requirements – Going Beyond Spatial In Ohio

placeholder... R.W. Mullen

223. The Application Of Fertilizer Using Management Zone (MZ) In Pampas Soils With Texture Variability Affects Residual Nitrate After Harvest

          The maize yields are usually associated with soil texture heterogeneity in western Argentinean Pampas.  In this area, the uniform fertilizer management (UM) increased the risk of nitrate leaching due to over-fertilizing but it could be minimized by using different management zones criteria (MZ). In a field experiment, the nitrates distribution in soil depth (0-1.80 m) at sowing and harvest times (residual Nitrate) and the maize... M. Rodriguez, G. Civeira, S. Urricariet, P. Muschietti, R. Lavado

224. The Cost Of Dependence Upon GPS-enabled Navigation Technologies

The adoption of global positioning system (GPS) technology to fine-tune agricultural field operations over the last decade has been unprecedented relative to other agricultural technologies. Resultantly, as agricultural machinery size and capacity increased, field operations have become much more precise due to the synergistic relationship between farm machinery and GPS-enabled guidance technology. With increased dependence upon GPS technology, one must ask “What are the risks associate... C. Lee, T. Griffin

225. The Effect Of Variable-Rate Fertilizer Nitrogen Decision-Making On Winter Wheat

... J. Guo, L. Chen, X. Wang, R. Zhang, L. Zotarelli

226. The Scholarship Of eXtension

  eXtension (www.extension.org) is an interactive on-line learning environment delivering "best of the best," researched-based knowledge from the top minds across the land-grant university system.  It is a space where university content providers can collaborate to gather and produce new educational and information resources on wide-ranging topics while continually interacting with their customers to help solve real-life problems in real time.  The works of ... M. Lambur

227. The Soil P2O5 Mapping Using The Real Time Soil Sensor

    Many researches related to P­2O5 measurement using Vis-NIR spectroscopy have been performed in laboratory. There are not so many researches to perform on-the-go measurement of P­2O5. One of the researches which performe... M. Kodaira, Y. Nagami, S. Shibusawa, R. Kanda

228. The Use Of A Ground Based Remote Sensor For Winter Wheat Grain Yield Prediction In Northern Poland

  The aim of the research was to investigate if algorithms developed for winter wheat, cv. Trend, yield predictions, based on ground measured GNDVI, differ significantly between 2 sequent years. The research was conducted in Pomerania, northern Poland (54° 31' N 17° 18' E) on sandy loam soils. The strip-trial design was used to compare the effect of 6 N treatments: 0, 50, 100, 150, 200 and 250 kg ha-1, applied as one dose at the b... S.M. Samborski, D. Gozdowski, S.E. Dobers

229. Thematic And Profitability Maps For Precision Agriculture

Yield maps became economically feasible to farmers with the technological advances in precision agriculture. The evidence of its profitability, however, is still unknown and, rarely, yield variability has been correlated to profitable variability. Differently ... E.G. Souza, C.L. Bazzi, M.A. Uribe-opazo

230. Timeliness In Agricultural Credit Delivery: A Precision Tool For Improved Farm Output And Income For Cocoa Farmers In Nigeria

The agricultural sector in Nigeria is still dominated by peasant farmers’ characterized by low level of income and saving capacity. One way to improve their farm capital investment is by providing them with timely and targeted accessible credit to enhance their production outputs and income because of the clear knowledge of the time specific nature of some farm operations. Then, how timely is the agricultural credit in Nigeria? This study determined the time-lag of credit facility disbu... J. Lawal

231. Timely, Objective, And Accurate Crop Area Estimations And Mapping Using Remote Sensing And Statistical Methods For The Province Of Prince Edward Island, Canada

The provincial government of Prince Edward Island, Canada, required timely, objective, and accurate annual crop area statistics and mapping for 2006 to 2008. Consequently, Statistics Canada conducted a survey incorporating medium- resolution satellite imagery (10 to 30 m) and statistical survey methods. The objective was to produce crop area estimates with a coefficient of variation (CV) as a measure of accuracy, and to produce maps showing the distribution and location of different crops and... F. Bedard, G. Reichert, R. Dobbins, M. Pantel, J. Smith

232. Tip Flow Uniformity When Using Different Automatic Section Control Technologies During Field Operations

Automatic section control (ASC) technology provides a means to reduce double-coverage and application in unwanted areas thereby leading to input savings and improved environmental stewardship.  However, the impact of ASC on spray boom dynamics and tip flow uniformity are unknown. Therefore, a study was conducted to evaluate tip flow rate uniformity and control system response in maintaining target application rates during field operation. Field experiments were conducted using two self-p... A. Sharda, J.D. Luck, J.P. Fulton, S.A. Shearer, T.P. Mcdonald, D. Mullenix

233. Tools For Evaluating The Potential Of Automatic Section Control

One of the newest technologies in precision agriculture is automatic section control on application equipment. This technology has tremendous potential to reduce wasted inputs, especially on irregularly shaped fields. Paybacks are not necessarily as great on rectangular fields. Producers considering adoption of the technology need to decide whether they will receive sufficient payback for their field shapes. They must also d... T. Stombaugh, R.S. Zandonadi, J.D. Luck, T.P. Mcdonald, T. Mcgraw

234. Traceability And Management Information System Of Agricultural Product Quality Safety In China

Agricultural product quality safety is the hot topic in the world. From the technical view, the agricultural production management and traceability are the key measurement for insuring the quality safety. From 2005 until now, we have been investig... X. Yang, M. Li, C. Sun, J. Qian, Z. Ji

235. Typology Of Farms And Regions In EU States Assessing The Impacts Of Precision Farming-technologies

A typology is developed describing the typical farms and the agricultural regions in Europe which presumably would apply Precision Farming technologies (PFT) and how. The typology focuses on the potential agronomic (cropping practices) benefits of PFT in crop production. Precision Farming covers a wide range of technologies for different sectors in agriculture. They differ in techniques, equipment and procedures and form core elements of information oriented production of various cr... L. Herold, B. Poelling, A. Wurbs, A. Werner

236. Ultra Low Level Aircraft (ULLA) As A Platform For Active Optical Sensing Of Crop Biomass

Crop producers requiring crop biomass maps to support timely application of in-season fertilisers, pesticides or growth regulators rely on either on-ground active sensors or airborne/satellite imagery. Active crop sensing (for example using Yara N-SensorTM, GreenseekerTM or CropcircleTM) can only be used when the crop is accessible by person or vehicle, and extensive, high-resolution coverage is time consuming. On the other hand, airborne or satellite imaging ... D.W. Lamb, M.G. Trotter, D. Schneider

237. Use Of Spectral Distance, Spectral Angle, And Plant Abundance Derived From Hyperspectral Imagery To Characterize Crop Growth Variation

Vegetation indices (VIs) derived from remote sensing imagery are commonly used to quantify crop growth and yield variations. As hyperspectral imagery is becoming more available, the number of possible VIs that can be calculated is overwhelmingly large. The objectives of this study were to examine spectral distance, spectral angle and plant abundance derived from all the bands in hyperspectral imagery and compare them with eight widely used two-band or three-band VIs based on selected waveleng... C. Yang

238. Using A Surface Energy Model (reset) To Determine The Spatial Variability Of ET Within And Between Agricultural Fields

Remote sensing algorithms are currently being used to estimate regional surface fluxes (e.g. evapotranspiration (ET)). Many of these surface energy balance models use information derived from satellite imagery such as aircraft, Landsat, AVHRR, ASTER, and MODIS to estimate ET. The remote sensing approach to estimating ET provides advantages over traditional methods. One of the most important advantages is that it can provide estimates of actual ET for each pixel in the image. Most conventional... L. Garcia, A. Elhaddad

239. Using An Active Crop Sensor To Detect Variability Of Nitrogen Supply On Sugar Cane Fields

Nitrogen management has been intensively studied on several crops and recently associated with variable rate application on-the-go based on crop sensors. On sugar cane those studies are yet scarce and as a biofuel crop the input of energy matters, looking for a high positive balance of biofuel production and low carbon emission on the whole production system. This paper shows the first results obtained using a nitrogen and biomass sensor (N-SensorTM ALS, Yara International ASA) aiming to indi... J. Molin, G. Portz, J. Jasper

240. Using GPS-RTK In Crop Variety And Hybrid Evaluations

The traditional methods used by many to conduct research in crop variety and hybrid evaluations is to blank plant the area, flag the area, or use a physical marker. All of these have disadvantages. In blank planting it may be difficult to plant exactly in the same rows, and can dry the soil and affect seed germination if soil water is limited. Blank planting also destroys crop residues and with skip-row residues are destroyed in the unplanted rows.This method is used for many plots in c... R.N. Klein, J.A. Golus

241. Using Late-season Uncalibrated Digital Aerial Imagery For Predicting Corn Nitrogen Status Within Fields

Using uncalibrated digital aerial imagery (DAI) for diagnosing in-season nitrogen (N) deficiencies of corn (Zea mays L.) is challenging because of the dynamic nature of corn growth and the difficulty of obtaining timely imagery. Digital aerial imagery taken later during the growing season is more accurate in identifying areas deficient in N. Even so, the quantitative use of late-season DAI across many fields is still limited because the imagery is not truly calibrated. This study... P.M. Kyveryga, T.M. Blackmer, R. Pearson

242. Using Multiplex® And GreenseekerTM To Manage Spatial Variation Of Vine Vigor In Champagne

Sébastien Debuisson1, Marine Le Moigne2, Mathieu Grelier1, Sébastien Evain2, Laurent Panigai1, Zoran G. Cerovic3 1CIVC, 5 rue Henri-Martin, boîte postale 135, Epernay, France 2Force-A, Université Paris Sud, Bât 503, Orsa... S. Debuisson, L. Marine

243. Validation Of On-the-go Soil Ph-measurements – Primary Results From Germany

Until recently in-field variability for soil pH could not be considered for agronomic decisions (e.g. liming rates) because reliable spatial information was hardly available. The required density of soil pH-measurements could not be achieved by manual soil sampling due to time constraints and analysis costs for the vast number of samples. A compreh... H. Olfs, D. Trautz, A. Borchert

244. Variability In Wheat Crop Production Based On Management Zones In Humid Pampas Region, Argentina

Crop productivity within fields is heterogeneous and it responds to the variation in crop management patterns, and in previous, random, and natural crop management factors. The methodologies for the delimitation of management zones (MZ) within production fields differ based on their application objectives. The ... M. L, M. Diaz-zorita, P. Mercuri

245. Variability Of Carbon Sequestration In The Tidewater Region Of The Southeastern U.S.

In the southeastern US climatic conditions favor long periods of plant growth.  This combined with intense rainfall and poor drainage provides idea conditions for the conversion of plant biomass into organic matter.  This study combines the results of field experiments designed to  examine crop management practices that favor the development of soil organic carbon and organic matter with an examination of the causes for the extreme variability... R. Heiniger

246. Variable Rate Application Of Nematicides On Cotton Fields: A Promising Site-specific Management Strategy

  The impact of two nematicides [ 1,3 – Dichloropropene (Telone® II) and Aldicarb (Temik)] applied at two rates on RKN population density and cotton (Gossypium hirsutum L.) lint yield were compared across previously determined RKN management zones (MZ) in commercial fields between 2007 and 2009. The MZ were delineated using fuzzy clustering of various surrogate data for soil texture. All treatments were randomly allocated a... B. Ortiz, C. Perry, D.G. Sullivan, R.C. Kemerait, R.F. Davis, P. Lu, A. Smith

247. Variable Rate Application Of Potassium Fertilizer For Soybean Crop Growth In A No-till System

Variable rate application of fertilizer has the potential to improve nutrient use efficiency, improve economic returns, and reduce negative environmental impacts. The objective of this study was to evaluate the variable rate application of potassium fertilizer to soybean crop in a no-till system. The study was conducted on a 13-ha soybean grain field in Carambeí, State of Paraná, Brazil in a Typic Hapludox. The area has been under no-tillage for more than 10 years growing grains... A.C. Bernardi, L.M. Gimenez, C.A. Silva, P.L. Machado

248. Variable Seeding Rates: Optimizing Yield Opportunity And Minimizing Seed Costs

placeholder...

249. Variable-rate Irrigation Management For Peanut Using Irrigator Pro

  Variable-rate irrigation has the potential to save substantial water. These water savings will become more important as urban, industrial, and environmental sectors compete with agriculture for available water. However, methodologies to precision-apply water for maximum agronomic and economic utility are needed.  Information is needed to optimally management variable-rate irrigation systems. In this study, we conducted irrigation experiments on peanut to c... K. Stone, P.J. Bauer, W.J. Busscher, J.A. Millen, D.E. Evans, E.E. Strickland

250. Vision Of Farm Of Tomorrow

... K. Charvat, P. Gnip

251. Vlite Node – New Sensor Technology For Precision Farming

... K. Charvat, J. Jezek, M. Musil, Z. Krivanek, P. Gnip

252. We Want You: Contributing Your Expertise To A Community Of Practice (COP)

  eXtension Communities of Practice (CoP’s) are online collaborative networks of subject matter experts.  Community of Practice as a method are not new, almost everyone has come across one by now, but you may not have realized what you were looking at was a collaborative effort.  CoP’s exist on sites like Consumer Reports, in CNET, and many other places where groups of experts work to create the content that populates a website.  Communities are self-... A. Hays

253. Weeds Detection By Ground-level Hyperspectral Imaging

Weeds are a severe pest in agriculture, causing extensive yield loss. Weed control of grass and broadleaf weeds is commonly performed by applying selective herbicides homogeneously all over the field. As presented in several studies, applying the herbicide only where needed has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precision agriculture has the potential to auto... U. Shapira , I. Herrmann, A. Karnieli, D.J. Bonfil

254. Wheat Growth Stages Discrimination Using Generalized Fourier Descriptors In Pattern Recognition Context

... F. Cointault, A. Marin, L. Journaux, J. Miteran, R. Martin

255. Worldwide Adoption Of Precision Agriculture Technology: The 2010 Update

Precision agriculture technology has been on the market for nearly two decades; and the question remains regarding how and to what extent farmers are making the best use of the technology. Yield monitors, GPS-enabled guidance technology, farm-level mapping and GIS software, on-the-go variable rate applications, and other spatial technologies are being used by thousands of farmers worldwide. The USDA Agricultural Resource Management Survey (ARMS) and the annual CropLife/Purdue University Preci... T. Griffin, J. Lowenberg-deboer