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eXtension: Precision Agriculture on the Internet
Global Proliferation of Precision Agriculture and its Applications
No Group
Information Management and Traceability
Proximal Sensing in Precision Agriculture
Agricultural Education
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change)
Proximal Sensing in Precision Agriculture
Precision Crop Protection
Remote Sensing Applications in Precision Agriculture
Precision Conservation
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Authors
Aberger, C
Acuna, T
Adamchuk, V.I
Adamchuk, V.I
Adamchuk, V.I
Aguilar, J
Ahamed, T
Alchanatis, V
Amakor, X
Amaral, L.R
Amaral, L.R
Arno, J
Arriaza, O.E
Bailey, M.J
Bajwa, S.G
Balasundram, S.K
Bao, Y
Barnes, W
Barreto, A.R
Batbayar, B
Beck, D.L
Bedard, F
Been, T
Bertelsen, M.G
Bingner, R.L
Bonfil, D.J
Bonfil, D.J
Bonfil, D.J
Borùvka, L
Bosompem, M
Brase, T
Bronson, K.F
Burger, L.W
Caballero-Novella, J.J
Caballero-Novella, J.J
Cambouris, A
Campos, R.P
Cao, Q
Cardon, G.E
Castillejo-Gonz, I
Castillejo-Gonz, I
Cavalcante, D.S
Chen, N
Chokmani, K
Civeira, G
Clay, D.E
Clay, D.E
Clay, S.A
Clay, S.A
Coates, R
Cohen, Y
Company, J
Conley, M.M
Cosby, A.M
Cosby, A.M
Cousins, A
Cugnasca, C.E
D, M.E
DEL MORAL, I
Dammer, K
Davis, R.F
Dehne, H
Delgado, J.A
Delwiche, M
Deng, W
Dhawale, N
Dhillon, R
Dhillon, R
Dillon, C
Dobbins, R
Dobers, S.E
Dosskey, M.G
Dosskey, M.G
Doubledee, M
Dynes, R
Eivazi, F
El-Sayed, S
Elhaddad, A
Ellsworth, P
Erdenee, B
Erickson, B
Escolà, A
Evert, F.V
Falzon, G
Fasso, W
Fausti, S
Federle, C
Feldhaus, J
Feng, G
Feng, G
Feng, L
Ferguson, R.B
Figueredo, D.G
Franco, H.C
Frieberg, D
Gómez, S
Gao, X
Gao, X
Garc, A
Garc, A
Garcia, L
Garcia-Torres, L
Garcia-Torres, L
Ghebremichael, L.T
Gholizadeh, A
Ghosheh, H
Gitelson, A.A
Givens, W
Gnip, P
Golla, B
Gomez-Candon, D
Gomez-Candon, D
Gomez-Casero, M
Gozdowski, D
Graziano Magalhães, P.S
Gregory, S
Griffin, T
Griffin, T.W
Han, C
Hartmann, B
Hawks, A
Hays, A
He, Y
He, Y
Hedley, M
Heijting, S
Herrmann, I
Herrmann, I
Herrmann, I
Hoffmann, W.C
Holland, K.H
Holland, K.H
Holland, K.H
Hongo, C
Hu, S
Huang, W
Huang, Y
Huang, Y
Huang, Y
Huggins, D.R
Hunsche, M
Isakeit, T
Isenhart, T.M
Jacobson, A.R
James, D.E
Ji, Z
Jian, S
Jiang, D
Jiang, L
Jiang, L
Jiang, Y
Jonsson, A
Jurado-Exp, M
Jurado-Exp, M
Karkee, M
Karnieli, A
Karnieli, A
Karnieli, A
Kemerait, R.C
Kempenaar, C
Kempenaar, C
Khosla, R
Kim, H
King, W
Kitchen, N.R
Kitchen, N.R
Kleinhenz, B
Kodaira, M
Kodaira, M
Kodaira, M
Kremer, R.J
Kruger, G
Kumar, R
Kwarteng, J.A
Kweon, G
Lacey, R
Lamb, D
Lamb, D.W
Lambur, M
Lampinen, B
Lan, Y
Lavado, R
Leite, N.J
Leithold, P
Leithold, T
Leufen, G
Li, F
Li, L
Li, M
Li, Q
Liaghat, S
Liu, B
Liu, B
Liu, F
Liu, F
Long, D.S
Long, D.S
Lopez-Granados, F
Lopez-Granados, F
Lowenberg-DeBoer, J
Lu, P
Lu, Z
Lund, E
Lutz, C.C
MARTÍNEZ-CASASNOVAS, J.A
MASIP, J
Ma, W
Mackenzie, C
Mackenzie, C
Maidl, F
Martin, D
Martini, D
Mat Su, A
Maxton, C
Mayer, W
McConnell, M.D
Mederos, B.T
Melnitchouck, A
Miao, Y
Miao, Y
Miao, Y
Minzenmayer, R.R
Mistele, B
Molin, J
Molin, J.P
Molin, J.P
Mon, J
Monfort, W.S
Morier, T
Mouazen, A.M
Moulton, P
Mueller, T.G
Muharam, F
Muschietti, P
Myers, D.B
Nichols, R.L
Nielsen, K
Nielsen, M.R
Ninomiya, K
Niwa, K
Noga, G
Nowatzki, J
Ntifo-Siaw, E
Odvody, G.N
Oerke, E
Olsen, D.R
Ortiz, B
Ortiz, B
Pacher, B
Pantel, M
Pe, J.M
Pe, J.M
Perret, J.S
Perry, C
Phillips, L
Pimstein, A
Pimstein, A
Portz, G
Powell, K
Prassack, L
Pullanagari, R
Qian, J
Qiu, Z
Röhrig, M
ROSELL, J.R
Reddy, K
Reese, C.L
Reichert, G
Remacre, A.Z
Rene-Laforest, F
Roach, J
Roberts, J
Rodriguez, M
Rojo, F
Rojo, F
Rosa, H
Rothrock, C.S
Rund, Q
Rupe, J.C
SANZ, R
Saberioon, M
Samborski, S.M
Sanches, G.M
Sankaran, S
Santiago, W.E
Santos, I.M
Scheiber, M
Schepers, J
Schepers, J.S
Schmidhalter, U
Schneider, D
Schneider, M
Schumacher, L
Shackel, K
Shahinian, M
Shannon, K
Shapira, U
Sharda, A
Shaver, T.M
Shen, J
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shiratsuchi, L
Shockley, J
Skouby, D
Slaughter, D
Smith, A
Smith, J
Spurlock, T.N
Stanley, J
Steiner, U
Streeter, C.R
Strenner, M
Sudduth, K.A
Sullivan, D.G
Sun, C
Swain, D
Tümsavas, Z
Tan, L
Tateishi, R
Taubinger, L
Tekin, A.B
Tekin, Y
Theurer, F.D
Thomasson, A
Thomson, S.J
Thorp, K.R
Tian, L
Tian, L.F
Ting, K
Tinini, R.C
Tomer, M
Trotter, M
Trotter, M
Trotter, T
Tuohy, M
Udompetaikul, V
Ulusoy, Y
Umeda, H
Upadhyaya, S
Upadhyaya, S
Urricariet, S
Usui, K
Vašát, R
Veiga, J.P
Veith, T.L
Volk, T
Wagner, P
Wallenhammar, A
Wang, H
Wang, M
Wang, X
Wang, X
Wells, R.R
White, J.W
Williams, J.D
Williams, R
Wuest, S.B
Xiong, Y
Xiu, W
Yalcin, H
Yan, Z.D
Yang, C
Yang, C
Yang, C
Yang, X
Yost, M
Yu, W
Yue, S
Yule, I
Zhang, H
Zhang, Q
Zhang, X
Zhang, Y
Zhang, Y
Zhang, Y
Zhao, B
Zhao, C
Zhao, C
Zia, S
Zikan, A
kulkarni, S.S
maas, S
van Donk, S
Topics
Precision Conservation
Remote Sensing Applications in Precision Agriculture
Proximal Sensing in Precision Agriculture
Precision Crop Protection
Agricultural Education
Proximal Sensing in Precision Agriculture
Global Proliferation of Precision Agriculture and its Applications
eXtension: Precision Agriculture on the Internet
Information Management and Traceability
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change)
Type
Poster
Oral
Year
2010
2012
2014
2016
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Topics

Filter results107 paper(s) found.

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

Showing 1 to 10 of 107 entries