A novel canopy water indicator for UAV imaging to monitor winter wheat water status

The utilization of UAV-based imaging systems for precise assessment of crop hydration levels plays a pivotal role in optimizing irrigation strategies and enhancing the efficiency of agricultural water resource management. While canopy fuel moisture content (FMCc) serves as a key parameter for evalua...

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Detalhes bibliográficos

Principais autores:	Meiyan Shu, Zhenghang Ge, Yang Li, Jibo Yue, Wei Guo, Yuanyuan Fu, Ping Dong, Hongbo Qiao, Xiaohe Gu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-12-01
Colecção:	Smart Agricultural Technology
Assuntos:	Winter wheat Canopy water Unmanned aerial vehicle (UAV) Machine learning
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2772375525003922
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