Using Machine Learning and Hyperspectral Images to Assess Damages to Corn Plant Caused by Glyphosate and to Evaluate Recoverability

Using Machine Learning and Hyperspectral Images to Assess Damages to Corn Plant Caused by Glyphosate and to Evaluate Recoverability

Glyphosate is the most widely used herbicide in crop production due to the widespread adoption of glyphosate-resistant (GR) crops. However, the spray of glyphosate onto non-target crops from ground or aerial applications can cause severe injury to non-GR corn plants. To evaluate the crop damage of t...

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Bibliographic Details
Main Authors: Ting Zhang, Yanbo Huang, Krishna N. Reddy, Pingting Yang, Xiaohu Zhao, Jingcheng Zhang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Agronomy
Subjects:
glyphosate
corn
recoverability
hyperspectral
machine learning
Online Access:https://www.mdpi.com/2073-4395/11/3/583

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