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Baresel, P
Krol, C
Shen, F
Nielsen, M.R
Dorado, J
Shanahan, J.F
Sandoval-Green, C
Kocks, C
Conley, S
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Authors
Baresel, P
Mistele, B
Yuncai, H
Schmidhalter, U
Hackl, H
Krol, C
Dempsey, D
Feher, T
Kocks, C
Kempenaar, C
Westerdijk, K
Peña, J.M
Torres-Sanchez, J
de Castro, A.I
Dorado, J
Lopez-Granados, F
Bertelsen, M.G
Nielsen, K
Nielsen, M.R
Nielsen, K
Nielsen, M.R
Gelder, B.K
Cruse, R
James, D
Herzmann, D
Sandoval-Green, C
Sklenar, T
Archer, J.K
Delgadillo, C.A
Shen, F
Herrmann, I
Vosberg, S
Ravindran, P
Singh, A
Townsend, P
Conley, S
Li, D
Miao, Y
Fernández, .G
Kitchen, N.R
Ransom, C.
Bean, G.M
Sawyer, .E
Camberato, J.J
Carter, .R
Ferguson, R.B
Franzen, D.W
Franzen, D.W
Franzen, D.W
Franzen, D.W
Laboski, C.A
Nafziger, E.D
Shanahan, J.F
Topics
Sensor Application in Managing In-season Crop Variability
Precision A to Z for Practitioners
Spatial Variability in Crop, Soil and Natural Resources
Applications of UAVs (unmanned aircraft vehicle systems) in precision agriculture
Proximal Sensing in Precision Agriculture
Engineering Technologies and Advances
Precision Conservation Management
Standards & Data Stewardship
Precision Agriculture and Global Food Security
ISPA Community: Nitrogen
Type
Poster
Oral
Year
2012
2014
2016
2018
2022
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1. Exploring Tractor Mounted Hyperspectral System Ability to Detect Sudden Death Syndrome Infection and Assess Yield in Soybean

Pre-visual detection of crop disease is critical for both food and economic security. The sudden death syndrome (SDS) in soybeans, caused by Fusarium virguliforme (Fv), induces 100 million US$ crop loss, per year, in the US alone. Field-based spectroscopic remote sensing offers a method to enable timely detection, but still requires appropriate instrumentation and testing. Soybean plants were measured at canopy level over a course of a growing season to assess the capacity of spectral measurements... I. Herrmann, S. Vosberg, P. Ravindran, A. Singh, P. Townsend, S. Conley