Diagnostic study of defoliation and boll opening effects on machine-harvested cotton using multi-source UAV remote sensing data

Accurate assessment of cotton defoliation (DF) and boll opening (BO) is essential for optimizing yield and fiber quality during mechanized harvesting, as improper timing can reduce yield and impair fiber quality. Unmanned aerial vehicle (UAV)-based remote sensing has become an effective tool for mon...

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Autors principals:	Huiyang Zhao, Chenning Ren, Xiaojuan Li, Pengzhong Zhang, Jianping Cui, Yabin Li, Shuyuan Zhang, Tao Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-11-01
Col·lecció:	Industrial Crops and Products
Matèries:	Machine-harvested cotton UAV Defoliation and boll opening Remote sensing data fusion Feature selection Machine learning
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S0926669025013731
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