Rapid determination of leaf water content for monitoring waterlogging in winter wheat based on hyperspectral parameters

Rapid determination of leaf water content for monitoring waterlogging in winter wheat based on hyperspectral parameters

Waterlogging is becoming an obvious constraint on food production due to the frequent occurrence of extremely high-level rainfall events. Leaf water content (LWC) is an important waterlogging indicator, and hyperspectral remote sensing provides a non-destructive, real-time and reliable method to det...

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Bibliographic Details
Main Authors:	Fei-fei YANG, Tao LIU, Qi-yuan WANG, Ming-zhu DU, Tian-le YANG, Da-zhong LIU, Shi-juan LI, Sheng-ping LIU
Format:	Article
Language:	English
Published:	Elsevier 2021-10-01
Series:	Journal of Integrative Agriculture
Subjects:	winter wheat hyperspectral remote sensing leaf water content new vegetation index BP neural network
Online Access:	http://www.sciencedirect.com/science/article/pii/S2095311920633068

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