Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features

Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features

Leaf water content (LWC) is a key physiological parameter for assessing maize moisture status, with direct implications for crop growth and yield. Accurate LWC estimation is essential for water resource management and precision agriculture. This study introduces a high-precision method for estimatin...

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Bibliographic Details
Main Authors: Yuchen Wang, Jianliang Wang, Jiayue Li, Jiacheng Wang, Hanzeyu Xu, Tao Liu, Juan Wang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Plants
Subjects:
UAV
multispectral image
machine learning
wheat
leaf water content
Online Access:https://www.mdpi.com/2223-7747/14/6/973
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