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Precision Nutrient Management
Modeling and Geo-statistics
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Authors
Adamchuk, V.I
Adamchuk, V.I
Aizpurua, A
Alabi, T
Andrade, R.G
B, K
Baghernejad, M
Basso, B
Bauer, P.J
Bazzi, C.L
Bernardi, A.C
Besga, G
Burris, E
Cao, Q
Carroll, S
Castell, A
Chen, L
Chen, L
Chen, T
Chen, X
Coelho, A
Cointault, F
Cui, Z
Cunha, T.F
Cunha, T.F
Dao, T.H
Davis, J
Delgado, J.A
Diaz-Zorita, M
Duval, C
Duval, C
Duval, C
Emadi, M.M
English, B.C
Esquivel, W
Fergugson, R.B
Fergugson, R.B
Grego, C.R
Grove, J
Guo, J
Guppy, C.N
Harper, D.C
Hoffmann, W.C
Huang, W
Hunsche, M
Ikpi, A.E
Inamasu, R.Y
Journaux, L
Khosla, R
Khosla, R
Khosla, R
Kim, H
Kitchen, N.R
Krueger Shvetsova, E
Krueger, E
Kurtener, D
Kurtener, D
Kurtener, D
Kurtener, D
L, M
Lamb, D.W
Lambert, D.M
Lan, Y
Larkin, S.L
Larson, J.A
Li, F
Llorens, J
Magalhaes, P.S
Marin, A
Martin, D.L
Martin, R
McCarter, K.S
Melnitchouck, A
Melnitchouck, A
Mercuri, P
Miao, Y
Miteran, J
Mooney, D.F
Moshia, M.E
Nabizadeh, E
Neupane, D
Noga, G
Okoruwa, V.O
Oksanen, T
Olayide, O.E
Omodele, T
Orellana, J
Ortega, R.A
Pan, L
Parajulee, M
Pena-Yewtukhiw, E.M
Perez-Parmo, R
Pl, L
R, C
Rabello, L.M
Ragab, R
Reyes, J.F
Roberts, D.F
Roberts, R.K
Rumpf, T
Sapkota, T.B
Sauer, B
Schroeder, M.A
Shanahan, J.F
Shrestha, R
Souza, E.G
Stiehl, D
Sudduth, K.A
Ta, S
Torbert, H
Trotter, M.G
Unamunzaga, O
Vaz, C.M
Velandia, M
Wang, C
Wang, J
Westbrook, J
Westfall, D
Zaller, M
Zhang, R
Zhao, C
Zotarelli, L
http://icons.paqinteractive.com/16x16/ac, G
http://icons.paqinteractive.com/16x16/ac, G
http://icons.paqinteractive.com/16x16/ac, G
wang, X
Topics
Modeling and Geo-statistics
Precision Nutrient Management
Type
Oral
Poster
Year
2010
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Filter results2 paper(s) found.

1. 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

2. 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