Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Abstract
Modern agriculture uses hyperspectral cameras to obtain hundreds of reflectance data measured at discrete narrow bands to cover the whole visible light spectrum and part of the infrared and ultraviolet light spectra, depending on the camera. This information is used to construct vegetation indices (VI) (e.g., green normalized difference vegetation index or GNDVI, simple ratio or SRa, etc.) which are used for the prediction of primary traits...
Paper Details
Title
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Published Date
Jan 3, 2017
Journal
Volume
13
Issue
1
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