Early Detection of Dicamba and 2,4-D Herbicide Drifting Injuries on Soybean with a New Spatial–Spectral Algorithm Based on LeafSpec, an Accurate Touch-Based Hyperspectral Leaf Scanner

Early Detection of Dicamba and 2,4-D Herbicide Drifting Injuries on Soybean with a New Spatial–Spectral Algorithm Based on LeafSpec, an Accurate Touch-Based Hyperspectral Leaf Scanner

In soybeans, off-target damage from the use of dicamba and 2,4-D herbicides for broadleaf weed control can significantly impact sensitive vegetation and crops. The early detection and assessment of such damage are critical for plant diagnostic labs and regulatory agencies to inform regulated usage p...

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Bibliographic Details
Main Authors: Zhongzhong Niu, Julie Young, William G. Johnson, Bryan Young, Xing Wei, Jian Jin
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
dicamba
2,4-D
mode of action
machine learning
phenotyping
hyperspectral image processing
Online Access:https://www.mdpi.com/2072-4292/15/24/5771

Internet

https://www.mdpi.com/2072-4292/15/24/5771

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