Early Detection of Crop Injury from Glyphosate on Soybean and Cotton Using Plant Leaf Hyperspectral Data

Early Detection of Crop Injury from Glyphosate on Soybean and Cotton Using Plant Leaf Hyperspectral Data

In this paper, we aim to detect crop injury from glyphosate, a herbicide, by both traditionally used spectral indices and newly extracted features with leaf hyperspectral reflectance data for non-Glyphosate-Resistant (non-GR) soybean and non-GR cotton. The new features were extracted by canonical an...

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Bibliographic Details
Main Authors: Feng Zhao, Yanbo Huang, Yiqing Guo, Krishna N. Reddy, Matthew A. Lee, Reginald S. Fletcher, Steven J. Thomson
Format: Article
Language:English
Published: MDPI AG 2014-02-01
Series:Remote Sensing
Subjects:
crop injury
herbicide
glyphosate
leaf reflectance
spectral indices
sensitivity analysis
canonical analysis
Online Access:http://www.mdpi.com/2072-4292/6/2/1538

Internet

http://www.mdpi.com/2072-4292/6/2/1538

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