A Comprehensive Review of Crop Chlorophyll Mapping Using Remote Sensing Approaches: Achievements, Limitations, and Future Perspectives

A Comprehensive Review of Crop Chlorophyll Mapping Using Remote Sensing Approaches: Achievements, Limitations, and Future Perspectives

Chlorophyll absorbs light energy and converts it into chemical energy, making it a crucial biochemical parameter for monitoring vegetation health, detecting environmental stress, and predicting physiological states. Accurate and rapid estimation of canopy chlorophyll content is crucial for assessing...

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Bibliographic Details
Main Authors: Xuan Li, Bingxue Zhu, Sijia Li, Lushi Liu, Kaishan Song, Jiping Liu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
chlorophyll content
hyperspectral imaging
machine learning
radiative transfer models
precision agriculture
Online Access:https://www.mdpi.com/1424-8220/25/8/2345
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