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Sensor Application in Managing In-season Crop Variability
Precision Dairy and Livestock Management
Food Security and Precision Agriculture
Precision A to Z for Practitioners
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Authors
Adamchuk, V.I
Adamchuk, V.I
Alheit, K.V
Andriamandroso, A
Arnall, B
Ayral, J
Büscher, P
Bareth, G
Barros, M.F
Benavente, J.C
Berdugo, C
Bernardi, A.C
Bindelle, J
Bishop-Hurley, G
Bodson, B
Bronson, K
Brosnan, S
Busemeyer, L
Canata, T.F
Charvat, K
Chen, X
Choudhari, D.D
Cox, D
Cugnasca, C.E
Dao, T.H
Dehne, H
Dempsey, D
Destain, J
Destain, M
Drummond, S.T
Drummond, S.T
Dumont, B
Dumont, B
Duval, C
Ferguson, R.B
Ferguson, R.B
Fixen, P
Franzen, D.W
Fumery, J
Ghinassi, G.P
Gnip, P
Gnyp, M.L
Griffin, T
He, Y
He, Y
Henry, D
Hillnhuetter, C
Hoffmann, C
Holland, K.H
Huang, L
Huang, S
Inamasu, R.Y
Jasper, J
Jezek, J
Jiang, R
Jin, H
Khosla, R
Kitchen, N.R
Kitchen, N.R
Kitchen, N.R
Klose, R
Krivanek, Z
Krol, C
Krumpholz, A
Lacey, R
Lamb, D.W
Lampinen, B
Lan, Y
Lebeau, F
Lebeau, F
Li, Q
Linz, A
Liu, F
Müller, M
Maack, D
Mackenzie, C
Mahlein, A
Mansouri, M.M
Marquering, D
Martello, L.S
Martinon, V
Mayer, W
Miao, Y
Moeller, K
Molin, J
Musil, M
Nayse, S.P
Oerke, E
Oerke, E
Ortiz, B
Overs, L
Pagni, P
Pan, L
Pinkston, P
Porto, A.J
Portz, G
Rahe, F
Ruckelshausen, A
Santos, H.P
Schelling, K
Schepers, J.S
Schneider, D
Schulthess, U
Schwiesow, D
Shanahan, J.F
Shao, Y
Sharma, A
Shaver, T
Sheridan, A
Shi, Y
Shiratsuchi, L
Sikora, R.A
Singh, G
Singh, M
Slater, G
Slaughter, D
Sousa, R.V
Sousa, R.V
Steiner, U
Stelford, M
Suddth, K.S
Sudduth, K.A
Sudduth, K.A
Suh, C
Sun, Z
Tangerino, G.T
Taylor, R.K
Thiel, M
Trautz, D
Trotter, M.G
Twickler, P
Udompetaikul, V
Upadhyaya, S
Vancutsem, F
Vieri, M.P
Wadhai, V.M
Walsh, M
Wang, N
Weiss, U
Westbrook, J
Westfall, D
Xu, X
Yao, Y
Zhang, H
Zhao, Y
Zhou, Y
http://icons.paqinteractive.com/16x16/ac, G
Topics
Sensor Application in Managing In-season Crop Variability
Precision A to Z for Practitioners
Precision Dairy and Livestock Management
Food Security and Precision Agriculture
Type
Oral
Poster
Year
2010
2012
2014
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Filter results3 paper(s) found.

1. 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

2. 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

3. 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