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Bolten, A
Haley, S
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Authors
Naser, M.A
Khosla, R
Haley, S
Reich, R
Longchamps, L
Moragues, M
Buchleiter, G.W
McMaster, G.S
Naser, M.A
Khosla, R
Reich, R
Haley, S
Longchamps, L
Moragues, M
Buchleiter, G.W
McMaster, G.S
Gnyp, M.L
Panitzki, M
Reusch, S
Jasper, J
Bolten, A
Bareth, G
Topics
Remote Sensing Applications in Precision Agriculture
Remote Sensing Applications in Precision Agriculture
Type
Poster
Oral
Year
2012
2016
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Filter results3 paper(s) found.

1. Can Active Sensor Based NDVI Consistently Classify Wheat Genotypes?

ABSTRACT ... M.A. Naser, R. Khosla, S. Haley, R. Reich, L. Longchamps, M. Moragues, G.W. Buchleiter, G.S. Mcmaster

2. Variation in Nitrogen Use Efficiency for Multiple Wheat Genotypes across Dryland and Irrigated Cropping Systems

ABSTRACT ... M.A. Naser, R. Khosla, R. Reich, S. Haley, L. Longchamps, M. Moragues, G.W. Buchleiter, G.S. Mcmaster

3. Comparison Between Tractor-based and UAV-based Spectrometer Measurements in Winter Wheat

In-season variable rate nitrogen fertilizer application needs a fast and efficient determination of nitrogen status in crops. Common sensor-based monitoring of nitrogen status mainly relies on tractor mounted active or passive sensors. Over the last few years, researchers tested different sensors and indicated the potential of in-season monitoring of nitrogen status by unmanned aerial vehicles (UAVs) in various crops. However, the UAV-platforms and the available sensors are not yet accepted to... M. Gnyp, M. Panitzki, S. Reusch, J. Jasper, A. Bolten, G. Bareth