Inversion of Crop Water Content Using Multispectral Data and Machine Learning Algorithms in the North China Plain

Inversion of Crop Water Content Using Multispectral Data and Machine Learning Algorithms in the North China Plain

(1) Background: Accurate inversion of crop water content is key to making an intelligent irrigation decision. However, little effort has been devoted to accurately estimating the crop water content of winter wheat in the North China Plain. (2) Method: The crop water content of winter wheat was measu...

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Bibliographic Details
Main Authors: Zhenghao Zhang, Gensheng Dou, Xin Zhao, Yang Gao, Saisai Liu, Anzhen Qin
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agronomy
Subjects:
random forest
unmanned aerial vehicle
multispectral remote sensing
vegetation index
winter wheat
Online Access:https://www.mdpi.com/2073-4395/14/10/2361
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