Identification of Cotton Defoliation Sensitive Materials Based on UAV Multispectral Imaging

Identification of Cotton Defoliation Sensitive Materials Based on UAV Multispectral Imaging

(1) Background: This study aims to analyze the defoliation and boll opening performance of 123 upland cotton germplasm resources after spraying defoliant, using multispectral data to select relevant vegetation indices and identify germplasm resources sensitive to defoliants, providing methods for co...

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Bibliographic Details
Main Authors: Yuantao Guo, Hu Zhang, Wenju Gao, Quanjia Chen, Qiyu Chang, Jinsheng Wang, Qingtao Zeng, Haijiang Xu, Qin Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agriculture
Subjects:
cotton
UAV
multispectral
defoliation rate
vegetation index
Online Access:https://www.mdpi.com/2077-0472/15/9/965
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