Estimation of Silage Maize Plant Moisture Content Based on UAV Multispectral Data and Ensemble Learning Methods

Estimation of Silage Maize Plant Moisture Content Based on UAV Multispectral Data and Ensemble Learning Methods

Plant moisture content (PMC) serves as a crucial indicator of crop water status, directly affecting agricultural productivity, product quality, and the effectiveness of precision irrigation. Conventional methods for PMC assessment predominantly rely on destructive sampling techniques, which are labo...

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Bibliographic Details
Main Authors:	Xuchun Li, Jixuan Yan, Caixia Huang, Weiwei Ma, Zichen Guo, Jie Li, Xiangdong Yao, Qihong Da, Kejing Cheng, Hongyan Yang
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Agriculture
Subjects:	precision agriculture remote sensing machine learning fusion vegetation indices crop monitoring
Online Access:	https://www.mdpi.com/2077-0472/15/7/746
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