A hierarchical framework for cotton boll opening rate monitoring using UAV RGB imagery

The cotton boll opening rate (CBOR) is a critical agronomic indicator determining yield and fiber quality. This study developed a hierarchical framework integrating unmanned aerial vehicle (UAV) RGB imagery to automate CBOR classification. To address blurred boll edges and complex backgrounds, an im...

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Bibliografiske detaljer

Principais autores:	Lechun Zhang, Pengchao Chen, Zhicheng Tang, Ruitao Ma, Meiting He, Hang Zhu, Yubin Lan
Format:	Artigo
Sprog:	Inglês
Udgivet:	KeAi Communications Co., Ltd. 2026-06-01
Serier:	Artificial Intelligence in Agriculture
Fag:	Unmanned aerial vehicle Remote sensing Cotton Boll opening rate Cotton pixel ratio
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2589721726000152
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