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Torres-Sanchez, J
Turk, P
Fernandez, C.J
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Authors
Yang, C
Odvody, G.N
Fernandez, C.J
Landivar, J.A
Nichols, R.L
Peña, J.M
Torres-Sanchez, J
de Castro, A.I
Dorado, J
Lopez-Granados, F
Phillippi, E
Khosla, R
Longchamps, L
Turk, P
Topics
Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture
Applications of UAVs (unmanned aircraft vehicle systems) in precision agriculture
In-Season Nitrogen Management
Type
Poster
Oral
Year
2012
2014
2018
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Authors

Filter results3 paper(s) found.

1. Evaluating Spectral Measures Derived From Airborne Multispectral Imagery for Detecting Cotton Root Rot

Cotton root rot, caused by the soilborne fungus Phymatotrichopsis omnivore, is one of the most destructive plant diseases occurring... C. Yang, G.N. Odvody, C.J. Fernandez, J.A. Landivar, R.L. Nichols

2. The TOAS Project: UAV Technology For Optimizing Herbicide Applications In Weed-Crop Systems

Site-specific weed management refers to the application of customised control treatments, mainly herbicide, only where weeds are located within the crop-field. In this context, the TOAS project is being developed under the financial support of the European Commission with the main objective of generating georeferenced weed infestation maps of certain herbaceous (corn and sunflower) and permanent woody crops (poplar and olive orchards) by using aerial images collected by an unmanned aerial... J.M. Peña, J. Torres-sanchez, A.I. De castro, J. Dorado, F. Lopez-granados

3. Precision Nitrogen and Water Management for Enhancing Efficiency and Productivity in Irrigated Maize

Nitrogen and water continue to be the most limiting factors for profitable maize production in the western Great Plains. The objective of this research was to determine the most productive and efficient nitrogen and water management strategies for irrigated maize.  This study was conducted in 2016 at Colorado State University’s Agricultural Research Development and Educational Center, in Fort Collins, Colorado. The experiment included a completely randomized block design with five... E. Phillippi, R. Khosla, L. Longchamps, P. Turk