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Spatial Variability in Crop, Soil and Natural Resources
Site-Specific Pasture Management
Smart Weather for Precision Agriculture
Profitability, Sustainability, and Adoption
Information Management and Traceability
Precision Dairy and Livestock Management
Precision A to Z for Practitioners
Precision Horticulture
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Authors
Özyurtlu, M
Acevedo, E
Acosta, L.E
Adamchuk, V.I
Adamchuk, V.I
Albrigo, G
Allphin, E
Alves, G
Andrade, J
Andrade, P
Andrade, P
Andretta, I
Andretta, I
Andretta, I
Antuniassi, U
Arnall, B
Auer, W
Auer, W
Auer, W
Auer, W
Ayral, J
Azam, S
Baghernejad, M
Baio, F
Barroso, L
Bartzanas, T
Bauer, P.J
Bazzi, C.L
Benny, H
Berger, A
Berger, A
Berger, A
Berger, A
Betz, A
Biscaro, A
Bisson, G
Blanke, M.M
Bochtis, D
Borchert, A
Bourgain, O
Bouroubi, M.Y
Brodbeck, C.J
Bryan, W
Busscher, W.J
Camargo Neto, J
Cambouris, A
Camergo Neto, J
Campoy, J
Carrow, R
Carson, T
Castro, T
Cerri, D.G
Chantuma, D
Charvat, K
Chen, L
Cho, B
Cho, J
Choi, J
Choi, J
Chung, S
Chung, S
Chung, S
Chung, S
Chung, S
Cline, V
Colaço, A.F
Cox, D
Cue, R.I
Dallago, G.M
Dallago, G.M
Dallago, G.M
Dallago, G.M
Damerow, L.M
Darr, M.J
Dash, M
Debuisson, S
Del Solar, D.E
Dempsey, D
Deng, W
Dorais, M
Drillich, M
Drillich, M
Drillich, M
Drillich, M
Drillich, M
Duval, C
Efrosinin, D
Ehsani, R
Ehsani, R
Ehsani, R
Ehsani, R
Emadi, M.M
English, B.C
English, B.C
Esau, T.J
Ettema, J.F
Evans, D.E
Fadul-Pacheco, L
Farooque, A.A
Fergugson, R.B
Ferguson, R.B
Figueiredo, D
Figueiredo, D
Figueiredo, D
Figueiredo, D
Filippini A., J
Flitcroft, I
Flores, C
Fountas, S
Franzen, D.W
Fulton, J.P
Fulton, J.P
Gandorfer, M
Gebbers, R
Ghoreishi, S
Gianquinto, G.P
Gnip, P
Gnip, P
Green, O
Griffin, S
Griffin, T
Guimarães, L
Guimarães, L
Ha, S
Haak, D
Hagan, B.A
Hagymássy, Z
Han, K
Han, K
Harsányi, E
Hauschild, L
Hauschild, L
Hauschild, L
Henderson, W
Herold, L
Hong, S
Hossain, B
Huh, Y
Huh, Y
Hur, S
Hur, S
Iwersen, M
Iwersen, M
Iwersen, M
Iwersen, M
Iwersen, M
J, R
Jafari, A
Jalem, R.S
Jara, L.A
Jens, M
Ji, Z
Jonjak, A.K
KANDA, R
Kang, S
Kanz, P
Kargar, S
Karimi, F
Khalilian, A
Khosla, R
Khosla, R
Khosro Anjom, F
Khot, L.R
Kickinger, F
Kickinger, F
Kickinger, F
Kickinger, F
Kim, H
Kim, H
Kim, H
Kim, H
Kim, K
Kim, K
Kim, K
Kipper, M
Kirkpatrick, T
Kitchen, N.R
Kodaira, M
Kodaira, M
Kodaira, M
Krieger, S
Krieger, S
Kristensen, A.R
Krol, C
Krum, J
Kruse, R
LAK, M
LAWAL, J
LAWAL, J
Lacroix, R
Lacroix, R
Lambert, D.M
Larbi, P.A
Larkin, S.L
Larson, J.A
Larson, J.A
Lefebvre, D
Lefebvre, D.M
Li, M
Liaghat, S
Lidauer, L
Lidauer, L
Lidauer, L
Lidauer, L
Lie, D.M
Llorens, J
MacDonald, L
Maciel, L
Mackenzie, C
Macy, T
Maglh, P.S
Maja, J.M
Maja, J.M
Mansor, S
Marra, M.C
Martin, S.W
Mata-Padrino, D
Mayer, W
Mayer, W
Meon, S
Miele, A
Millen, J.A
Mishra, A
Mishra, A.R
Molin, J.P
Monfort, S
Mooney, D.F
Mooney, D.F
Mueller, J
Mullenix, D
Mzuku, M
NAGAMI, Y
Nagy, J
Neto, J.C
Ninomiya, K
Noh, N
Norwood, S.H
Norwood, S.H
Nze Memiaghe, J.D
Nándor, C
Oczak, M
Olfs, H
Orloff, S
Ortega, R.A
Ortega, R.A
Ortiz, B
Otoni, L
Overstreet, C
Pacher, B
Pan, L
Paxton, K.W
Pena-Yewtukhiw, E.M
Percival, D.C
Pfeiffer, J
Pflanz, M
Pires, P.S
Poelling, B
Pomar, C
Pomar, C
Pomar, C
Pomar, J
Pravia, V
Qian, J
Rachow-Autrum, T
Ragán, P
Reeves, J.M
Reich, R
Reiter, S
Rejesus, R
Remus, A
Rice, K
Rivest, J
Roberts, R.K
Roberts, R.K
Rodekohr, D
Rodrigues Jr, F
Roel
Roland, L
Roy, R
Ru, G
Ryu, D
Ryu, M
Rátonyi, T
Salyani, M
Sankaran, S
Santos, A
Santos, C
Santos, C
Santos, D
Santos, D
Santos, D
Santos, R
Santos, R
Santos, R
Santos, R
Santschi, D.E
Sattlecker, G
Scheele, M
Schelde, K
Schelling, K
Schischmanow, A
Schneider, M
Schrenk, J
Schrenk, L
Schulthess, U
Schumann, A.W
Schweinzer, V
Schweinzer, V
Schwiesow, D
Segarra, E
Shafri, H
Shaner, D
Shaner, D
Shapiro, C.A
Sharma, A
Shaw, J.N
Shibusawa, S
Shibusawa, S
Shibusawa, S
Smith, F
Sorensen, C
Souza, E.G
Stauffer, T
Stelford, M
Stone, K
Strickland, E.E
Stromberger, M
Sturm, V
Suddeth, K.A
Sulastri, N
Sun, C
Swen, W
Séguin, M
Tatge, J
Tempesta, M
Terra, J.A
Thompson, A
Thomsen, A
Trautz, D
Tremblay, N
Troesch, A.M
Uribe-Opazo, M.A
Vasseur, E
Velandia, M
Vieira, J
Vigneault, P
Vántus, A
Walsh, M
Wang, C
Wellington, C
Werner, A
Werner, A
Winstead, A.T
Winstead, A.T
Wortmann, C.S
Wu, G
Wurbs, A
Xue, X
Yang, X
Yoo, H
Zach, D
Zaller, M
Zaman, Q
Zhang, Y
Zhou, R.R
Zude, M
http://icons.paqinteractive.com/16x16/ac, G
marine, L
shilai, Y.M
Öhlschuster, M
Öhlschuster, M
Öhlschuster, M
Topics
Precision Horticulture
Spatial Variability in Crop, Soil and Natural Resources
Precision A to Z for Practitioners
Precision Dairy and Livestock Management
Profitability, Sustainability, and Adoption
Site-Specific Pasture Management
Smart Weather for Precision Agriculture
Information Management and Traceability
Type
Poster
Oral
Year
2012
2010
2018
2022
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Filter results93 paper(s) found.

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. 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

27. 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

28. 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

29. 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

30. 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

31. 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

32. Vision Of Farm Of Tomorrow

... K. Charvat, P. Gnip

33. 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

34. 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

35. 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

36. 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

37. 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

38. 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

39. 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

40. 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

41. 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

42. 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

43. 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

44. 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

45. 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

46. Research on Nutrition and Quality Detection Technology of Soil, Leaf and Fruit of Citrus Based on and Digital Image Spectroscopic Techniques

The diagnosis technique of real-time lossless crop nutrition is the foundation and conditions for the precise, effective fertilization, cultivation and management, and so on. Currently, the diagnosis of crop nutrition mainly relies on the routine chemical analysis of laboratory. Due to the complicated procedure, time-consuming,... D.M. Lie, Y.M. Shilai

47. Beyond NDVI - Additional Benefits of RapidEye Image Products

... U. Schulthess, K. Schelling

48. The Map - Supported by New NPK-Sensors - is Intelligent, Not the Tractor

DI Walter H. Mayer   PROGIS Software GmbH   Postgasse 6, A-9500 Villach www.progis.com office@progis.com +43 4242 26332 WinGIS®-AGROffice® and BING®-maps: Since years PROGIS has been developing an object oriented GIS (WinGIS®), agriculture and forestry applications for single enterprises, for advisors, for the chain management including logistics and communication implementation with mobile GIS (mobG... W. Mayer

49. Early Detection of Oil Palm Fungal Disease Infestation Using A Mid-Infrared Spectroscopy Technique

Basal stem rot (BSR) caused by Ganoderma boninense is known as the most destructive disease of oil palm plantations in Southeast Asia. Ganoderma could potentially reduce the market share of palm oil for Malaysia. Currently Malaysia produces about 50% of the world’s supply of palm oil. Early, accurate, and non-destructive diagnosis of Ganoderma fungal infection is critical for management of this disease. Early disease management of Ganoderma could also prevent great losses in production ... S. Liaghat, S. Mansor, H. Shafri, S. Meon, R. Ehsani, S. Azam, N. Noh

50. Affordable Multi-Rotor Remote Sensing Platform for Applications In Precision Horticulture.

Satellite and aerial imaging technologies have been explored for a long time as an extremely useful source of collecting cost-effective data for agricultural applications. In spite of the availability of such technologies, very few growers are using the tech... R. Ehsani, S. Sankaran, J.M. Maja, J.C. Neto

51. Variable Rate Fertilization for Citrus

To improve economic and environmental sustainability new management strategies has been considered to citrus production. Especially on grain crops, Precision Agriculture (PA) has proved to be a successful tool to manage crop fields according to their variability, mainly through variable rate (VRT) fertilization practice. Although VRT technology is already being used on commercial citrus orchards, few academic researches have app... J.P. Molin, A.F. Colaço

52. Remote Control System for Greenhouse Environment Using Mobile Devices

Protected crop production facilities such as greenhouse and plant factory have drawn interest and the area is increasing in Korea as well as in other countries in the world. Remot... S. Chung, K. Kim, H. Kim, J. Choi, Y. Zhang, S. Kang, K. han, S. Hur

53. OptiThin - Precision Fruiticulture by Tree-Specific Mechanical Thinning

Apple cultivars show biennial fluctuations in yields (alternate bearing). The phenomenon is induced by reduced yields in one year due to freeze damage, low pollination rate or other reasons. Consequently, trees develop many flower buds that blossom in the following year. The many flowers lead to a high number of small fruits that won’t be accepted on the market. Endogenous factors (phytohormones and carbohydrate allocation) subsequently establish the biennial cycle. The alternate b... A. Betz, H. Benny, M. Jens, M. Özyurtlu, M. Pflanz, T. Rachow-autrum, A. Schischmanow, M. Scheele, J. Schrenk, L. Schrenk, M. Zude, R. Gebbers

54. Spatial Variability of Inceptisol and Entisol Soils and Their Effect on Merlot Grape Must Composition

Technologies associated to precision agriculture are being used in some crops in Brazil, mainly soybean, wheat, corn and sugarcane. However, information on its use in viticulture is scarce. Thus, a research was carried out during the vegetative cycle of 2010/2011 in a clone 347 Merl... C. Flores, J. Filippini a., A. Miele

55. Determination of Sensor Locations for Monitoring of Soil Water Content in Greenhouse

 Monitoring and control of environmental condition is highly important for optimum control of the conditions, especially in greenhouse and plant factor, and the conditio... S. Chung, Y. Huh, J. Choi, D. Ryu, K. Kim, H. Kim, H. Kim

56. Determination of Sensor Locations for Monitoring of Greenhouse Ambient Environment

In protected crop production facilities such as greenhouse and plant factory, f... S. Chung, K. Kim, Y. Huh, S. Hur, S. Ha, M. Ryu, H. kim, K. han

57. Young Leaf Detection for Spot Spray Treatment of Citrus Canopies to Control Psyllids

Huanglongbing (HLB) is an important disease of citrus that is spread mainly through a vector, psyllid (Diaphorina citri), that feeds predominantly on young leaves.  Given the selective feeding of the insect, treating only the young flush, instead of spraying the ent... R. Ehsani, M. Salyani, J.M. Maja, A.R. Mishra, P.A. Larbi, J. Camargo neto

58. An Approach to Selection of Soil Water Content Monitoring Locations within Fields

Increased input efficiency is one of the main challenges for a modern agricultural enterprise. One way to optimize production cycles is to rationalize crop residue utilization. In conditions where there is limited use of mineral fertilizers and without applying manure, plant residues may be used as an organic fertilizer ... V.I. Adamchuk, L. Pan, R.B. Ferguson

59. Use of Cluster Regression for Yield Prediction in Wine Grape

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60. Variability in Soil Water Content and Sensor-Based Irrigation Scheduling for Protected Ginseng Production

Ginseng is one of important medicinal plants, especially in Asian countries including Korea. Korean ginseng is mostly grown in sun-block facility on ridges, and irrigation would be critical for better production. Conventionally no irrigation or timer-controlled irrigation based on experience was practiced, and variability ... J. Cho, B. Cho, S. Chung

61. Remote Sensing of Nitrogen and Water Status on Boston Lettuce Transplants in a Greenhouse Environment

Remote sensing is the stand-off collection through the use of a variety of devices for gathering information on a given object or area. Applied as a warning tool in plant stock production, it is expected to help in the achievement of better, more uniform and more productive organic cropping systems. Remote sensing of vegetation targets can be achieved from the... N. Tremblay, P. Vigneault, M.Y. Bouroubi, M. Dorais, G.P. Gianquinto, M. Tempesta

62. The Use of Crop Sensors Beyond Nitrogen and Improving the Right to Farm

... C. Mackenzie

63. Recognition Algorithms for Detection of Apple Fruit in an Orchard for Early Yield Prediction

... L.M. Damerow, M.M. Blanke, R.R. Zhou

64. Validation of Variable Rate Spray Decision Rules in Intricate Micro-Metrological Conditions

This study evaluated validity of modified spray decision rules formed to operate axial fan airblast sprayer retrofitted for use in citrus production. The sprayer was field tested in a spr... L.R. Khot, R. Ehsani, G. Albrigo, J. campoy, C. Wellington, W. Swen, J. Camergo neto

65. John Deere FarmSight™

Agriculture has had several revolutions in the past century, and it currently faces what may be its greatest challenge to date – population growth and the increased need for food, fiber, and fuel in the future.  To meet this challenge the agricultural industry will have to drive efficiencies to a level never seen before, within a context of several macro trends (e.g., farm sizes increasing, environmental sustainability requirements evolving).  John Deere FarmSightTM... M. Stelford

66. AMMO Ag: Agricultural Marketing & Merchandising Optimizer

EHedger provides an integrated risk management solution for farm operations utilizing our proprietary AMMO platform combined with proven hedging strategies, first-hand market insight, effective trade execution and farming expertise. AMMO software enables real-time analysis of crop/livestock production. Farmers can set profit margins, evaluate variable profit scenarios, understand production costs and risks, and create sustainable marketing programs to maximize their... C. Krol, D. Dempsey

67. Real-Time Fluorescence Sensors for Precision Agriculture

... J. Ayral

68. Raven Sponsor Presentation: Slingshot Overview

Slingshot, a suite of products and services centered around high-speed wireless connectivity in the cab ... D. Schwiesow

69. Precision Agriculture and Springer

Maryse Walsh will be presenting Precision Agriculture, the Springer journal, but also the discipline and its place in the Springer publications overall. The community attending the ICPA has a major role in ensuring the positive development of these publications and the affiliation of the journal to the ISPA will only help. ... M. Walsh

70. Raising Awareness of the Potential of Crop Sensing Technologies to Improve Environmental Stewardship

Extensive research and on-farm work using active crop sensors for input management have been conducted in the Midwest and Great Plain USA with favorable results. Contrasting is the situation in the Southeast where the adoption by farmers is still limited and current on-going research is focused on the main southeastern crops. This presentation will provide an overview of the multiple extension activities related to crop sensing involving farmers, extension agents and crop consultants in ... B. Ortiz

71. Making the Most of Precision Ag Data: Big Data in Farm Management

na ... T. Griffin

72. Davco's Journey Into Precision Sugarcane Farming

Davco's Journey Into Precision Sugarcane Farming ... D. Cox

73. Sensor Algorithms 101

This presentation will break down the algorithms used for Optical Sensor Based Nitrogen rate recommendations. The group will walk through the mechanics and agronomics behind the most commonly used equations, in order to turn the black boxes into slightly muddied waters. ... B. Arnall

74. Use of Zone or Grid Soil Nutrient Management as Part of an Integrated Site-specific Nutrient Strategy

Zone and grid sampling are used as a basis for fertilizing with nutrients site-specifically. Use of sensors to assist in-season management of nitrogen is also gaining momentum. The presentation will suggest when grid or zone sampling for preplant nutrients might be utilized and how these recommendations would be used in an integrated approach of preplant plus in-season nutrient management. ... D. Franzen

75. A Tool for Monitoring Genetic Selection Differentials in Dairy Herds in Canada

A software tool was developed to allow a dairy producer and/or agricultural advisor to monitor the genetic selection differentials (GSD) that a dairy farm is making. The objectives of this study were (i) to monitor GSD in individual farms, over years, so that producers can be advised as to whether or not they are achieving their selection objectives (and hence optimizing productivity and profitability); (ii) the development of a prototype software tool and visualization model to assist produc... B.A. Hagan, R.I. Cue

76. A Pilot Study on Monitoring Drinking Behavior in Bucket Fed Dairy Calves Using an Ear-Attached Tri-Axial Accelerometer

Accelerometers support the farmer with collecting information about animal behavior and thus allow a reduction in visual observation time. The milk intake of calves fed by teat-buckets has not been monitored automatically on commercial farms so far, although it is crucial for the calves’ development. This pilot study was based on bucket-fed dairy calves and intended (1) to evaluate the technical feasibility of using an ear-attached accelerometer (SMARTBOW, Smartbow GmbH, Weibern, Austri... L. Roland, L. Lidauer, G. Sattlecker, F. Kickinger, W. Auer, V. Sturm, D. Efrosinin, M. Drillich, M. Iwersen, A. Berger

77. Evaluation of an Ear Tag Based Accelerometer for Monitoring Rumination Time, Chewing Cycles and Rumination Bouts in Dairy Cows

The objective of this study was to evaluate the ear tag based accelerometer SMARTBOW (Smartbow, Weibern, Austria) for detecting rumination time, chewing cycles and rumination bouts in dairy cows. For this, the parameters were determined by analyses of video recordings as reference and compared with the results of the accelerometer system. Additionally, the intra- and inter-observer reliability as well as the agreement of direct cow observations and video recordings was tested. Ten Simmental c... M. Iwersen, S. Reiter, V. Schweinzer, F. Kickinger, M. Öhlschuster, L. Lidauer, W. Auer, M. Drillich, A. Berger

78. Ear-Attached Accelerometer as an On-Farm Device to Predict the Onset of Calving in Dairy Cows

The objective of this study on an ear-attached accelerometer in dairy cows was (1) to determine activity, rumination and lying time of the dams prior to calving, and include group level of measured variables (2) use the data to develop an algorithm to predict calving and (3) to test the performance of this algorithm. Video observations (24h/d) were used as reference for these events. Four weeks before expected calving, an ear-tag integrated tri-axial accelerometer (SMARTBOW system) was attach... S. Krieger, M. Oczak, L. Lidauer, F. Kickinger, M. Öhlschuster, W. Auer, M. Drillich, M. Iwersen, A. Berger

79. Evaluation of the Ear-Tag Sensor System SMARTBOW for Detecting Estrus Events in Indoor Housed Dairy Cows

Livestock farming technologies have a tremendous potential to improve and support farmers in herd management decisions, in particular in reproductive management. Nowadays, estrus detection in cows is challenging and many detection tools are available. The company Smartbow (Weibern, Austria) developed a novel ear-tag sensor, which consists of a 3D-accelerometer that records head and ear movements of cows as basis for algorithm development and further analyses. Estrus detection by the SMARTBOW ... V. Schweinzer, L. Lidauer, F. Kickinger, M. Öhlschuster, W. Auer, M. Drillich, M. Iwersen, A. Berger

80. Exploring Relationships Between Dairy Herd Improvement Metrics in Minas Gerais – Brazil Dairy Herds

The objective of the present study was to apply principal component analysis (PCA) on Brazilian Dairy Herd Improvement (DHI) data to discover the subset of most meaningful variables to describe complete lactations. The Holstein Livestock Breeders Association of Minas Gerais provided data collected between 2005 and 2016 from 122 dairy farms located in the State of Minas Gerais – Brazil. Twelve numerical variables were selected from the original dataset and four additional variables were ... G.M. Dallago, D. Figueiredo, R. Santos, P. Andrade, D. Santos

81. Evaluation of a Wireless Pulse Oximeter to Measure Arterial Oxygen Saturation and Pulse Rate in Newborn Holstein Friesian Calves

Pulse oximetry is a well-established technique in nowadays human and veterinarian medicine. Also in the farm animal sector, it could be a useful tool to detect critical conditions of the oxygen supply and the cardiovascular system of the patient. However, its use in ruminant medicine is still limited to experimental application. The objective of this study was to evaluate the accuracy of a Radius-7 Wearable Pulse Oximeter (Masimo Corporation, Irvine, CA) for monitoring the vital parameters of... P. Kanz, S. Krieger, M. Drillich, M. Iwersen

82. Time Series Analysis of Somatic Cell Count from Dairy Herds in Minas Gerais - Brazil

The objective of this study was to analyze the temporal variation of somatic cell count (SCC) in milk of dairy cows from the state of Minas Gerais, Brazil. The Holstein Livestock Breeders Association of Minas Gerais provided data collected from 128 dairy farms located in the state of Minas Gerais between the years of 2000 and 2016. The database contains the SCC average of a total of 91,851 305-day lactations of Holstein animals. The annual SCC average was calculated as well as the percentage ... G.M. Dallago, D. Figueiredo, R. Santos, D. Santos, L. Guimarães, C. Santos, T. Castro, A. Santos, L. Otoni, J. Andrade

83. The Influence of Calf’s Sex on Total Milk Yield and Its Constituents of Dairy Cows

The objective of the present work was to evaluate the influence of the sex of the calf on total milk yield and its constituents of Holstein-Friesian dairy cows. The Holstein Livestock Breeders Association of Minas Gerais provided data collected over the years from 2000 to 2016 from 127 dairy farms located in the state of Minas Gerais – Brazil. The data set analyzed contained 61747 observations of Holstein-Friesian animals that calved female (n = 28903) or male (n = 32844) calf. Fat, pro... G.M. Dallago, D. Figueiredo, R. Santos, D. Santos, L. Barroso, G. Alves, J. Vieira, L. Guimarães, C. Santos , L. Maciel

84. Economic Evaluation of Automatic Heat Detection Systems in Dairy Farming

Although heat detection makes a relevant contribution to good reproduction performance of dairy cattle, available studies on the economic evaluations of automatic heat detection systems are limited. Therefore, the objective of this article is to provide an economic evaluation of using automatic heat detection. The effect of different heat detection rates on gross margin is modelled with SimHerd (SimHerd A/S, Denmark). The analysis considers all additional investment costs in automatic heat de... J. Pfeiffer, M. Gandorfer, J.F. Ettema

85. The Spread of Precision Livestock Farming Technology at Dairy Farms in East Hungary

During the survey, 25 dairy farms were examined in East Hungary in Hajdú-Bihar (H-B) County between 2017 and 2018 by methodical observation and oral interviews with the farm managers, about the spread of Precision Livestock Farming (PLF) technologies. Among Holstein Friesian dairy farms in the County 60% were questioned, and the representativity was above 47 percent ins each size category. Nine precision farming equipment were examined on the farms: milking robot or robotic carousel mi... C. Nándor, T. Rátonyi, E. Harsányi, P. Ragán, Z. Hagymássy, J. Nagy, A. Vántus

86. Usage of Milk Revenue Per Minute of Boxtime to Assess Cows Selection and Farm Profitability in Automatic Milking Systems

The number of farms implementing robotic milking systems, usually referred as automatic milking systems (AMS), is increasing rapidly. AMS efficiency is a priority to achieve high milk production and higher incomes from dairy herds. Recent studies suggested that milkability (i.e., amount of milk produced per total time spent in the AMS [kg milk/ minute of boxtime]) could be used for as a criteria for genetic evaluations. Therefore, an indicator of milkability was developed, which combines econ... L. Fadul-pacheco, G. Bisson, R. Lacroix, M. Séguin, R. Roy, E. Vasseur, D. Lefebvre

87. Relationships Between First Test Day Metrics of First Lactation Cows to Evaluate Transition Period

The objective of this study was to apply principal component analysis (PCA) and multiple correspondence analysis (MCA) on Dairy Herd Improvement (DHI) data of animals on their first lactation to discover the most meaningful set of variables that describe the outcome on the first test day. Data collected over 4 years were obtained from 13 dairy herds located in Québec – Canada. The data set was filtered to contain only information from first test day of animals on their first lact... G.M. Dallago, D. Figueiredo, R. Santos, P. Andrade, D.E. Santschi, R. Lacroix, D.M. Lefebvre

88. Feature Extraction from Radial Descriptor Lines for Body Condition Scoring of Cows

Body condition score (BCS) is considered as one of the most important indices for managing dairy cows, which is used to evaluate fat cover and changes in body condition. Dairy farmers should be aware of their cows BCS to be able to identify the patient cows on time and manage diets when needed. In this study, we have introduced a new index which uses Radial Descriptor Lines (RDL) for BC scoring. Based on the fact that the fatter the cow the smoother the back surface, we hypothesised that the ... A. Jafari, F. Karimi, A. Werner, S. Ghoreishi, S. Kargar

89. Dynamic Feeding Intake Monitoring in Growing-Finishing Pigs Reared Under Precision Feeding Strategies

Pigs exposed to challenges with no prior experience change their daily feeding intake pattern. A method identifying deviations from normal feeding patterns could be used to develop a model framework to estimate individual nutrient requirements of challenged pigs fed with precision feeding systems. The objective of this study was to develop a tool for early identification of feed intake deviations in precision fed growing-finishing pigs. Feed intake measurements collected during 84 d in 126 gr... L. Hauschild, A.R. Kristensen, I. Andretta, C. Pomar, A. Remus

90. Precision Feeding Can Significantly Reduce Lysine Intake and Nitrogen Excretion Without Compromising the Performance of Growing Pigs

The impact of using a mathematical model estimating real-time daily lysine requirements in a sustainable precision feeding program for growing pigs was investigated in two performance trials. Three treatments were tested in the first trial (60 pigs of 41.2±0.5 kg): a three-phase feeding program (3P) obtained by blending fixed proportions of feeds A (high nutrient concentration) and B (low nutrient concentration); and two daily-phase feeding programs in which the blended proportions of ... C. Pomar, I. Andretta, J. Rivest, L. Hauschild, J. Pomar

91. Environmental Impacts of Precision Feeding Programs Applied in Brazilian Pig Production

This study was undertaken to evaluate the effect that switching from conventional to precision feeding systems during the growing-finishing phase would have on the potential environmental impact of Brazilian pig production. Standard life-cycle assessment procedures were used, with a cradle-to-farm gate boundary. The inputs and outputs of each interface of the life cycle were organized in a model. Grain production was independently characterized in the Central-West and South regions of Brazil,... C. Pomar, I. Andretta, L. Hauschild, M. Kipper, P.S. Pires

92. Micro-climate Prediction System Using IoT Data and AutoML

Microclimate variables like temperature, humidity are sensitive to land surface properties and land-atmosphere connections. They can vary over short distances and even between sections of the farm. Getting the accurate microclimate around the crop canopy allows farmers to effectively manage crop growth. However, most of the weather forecast services available to farmers globally, either by the meteorological department or universities or some weather app,  provide weather forecasts for l... A. Sharma, R.S. Jalem, M. Dash

93. Grassland System Impacts on Spatial Variability of Soil Phosphorus in Eastern Canada

Phosphorus (P) is an essential nutrient for plants, including grasslands. However, continuous applications of P fertilizer result in P accumulations in the soil, increasing the risk of P losses through runoff and erosion. Since 2008, more than 31 million tonnes of organic fertilizers, representing more than 95,000 tonnes of P2O5, were applied to agricultural fields in Eastern Canada. Thus, grassland systems were fertilized intensively using organic fertilizers with high ... J.D. Nze memiaghe, A. Cambouris