A Hyperspectral Image-Based Method for Estimating Water and Chlorophyll Contents in Maize Leaves under Drought Stress

A Hyperspectral Image-Based Method for Estimating Water and Chlorophyll Contents in Maize Leaves under Drought Stress

ObjectivesChlorophyll content and water content are key physiological indicators of crop growth, and their non-destructive detection is a key technology to realize the monitoring of crop growth status such as drought stress. This study took maize as an object to develop a hyperspectral-based approac...

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Bibliographic Details
Main Authors: WANG Jingyong, ZHANG Mingzhen, LING Huarong, WANG Ziting, GAI Jingyao
Format: Article
Language:English
Published: Editorial Office of Smart Agriculture 2023-09-01
Series:智慧农业
Subjects:
drought stress
hyperspectral
inversion of chlorophyll content
inversion of water content
mechine learning
Online Access:http://www.smartag.net.cn/CN/abstract/abstract22187.shtml

Internet

http://www.smartag.net.cn/CN/abstract/abstract22187.shtml

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