Evaluation of crop water status using UAV-based images data with a model updating strategy

This study aims to evaluate crop water status by fusing multiple features from the unmanned aerial vehicle (UAV)-based canopy images with model updating strategy. A UAV platform carrying multispectral and thermal infrared cameras was used to collect high spatial resolution images of winter wheat and...

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Bibliographic Details
Main Authors:	Ning Yang, Zhitao Zhang, Xiaofei Yang, Ning Dong, Qi Xu, Junying Chen, Shikun Sun, Ningbo Cui, Jifeng Ning
Format:	Article
Language:	English
Published:	Elsevier 2025-05-01
Series:	Agricultural Water Management
Subjects:	Crop water status UAV Feature fusion Model updating strategy Deep learning Model transferability
Online Access:	http://www.sciencedirect.com/science/article/pii/S0378377425001593
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Evaluation of crop water status using UAV-based images data with a model updating strategy

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