Construction and Evaluation of a Cross-Regional and Cross-Year Monitoring Model for Millet Canopy Phenotype Based on UAV Multispectral Remote Sensing

Accurate, high-throughput canopy phenotyping using UAV-based multispectral remote sensing is critically important for optimizing the management and breeding of foxtail millet in rainfed regions. This study integrated multi-temporal field measurements of leaf water content, SPAD-derived chlorophyll,...

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Bibliographic Details
Published in:	Agronomy
Main Authors:	Peng Zhao, Yuqiao Yan, Shujie Jia, Jie Zhao, Wuping Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	UAV remote sensing multispectral data canopy phenotyping machine learning foxtail millet cross-regional extrapolation
Online Access:	https://www.mdpi.com/2073-4395/15/4/789

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