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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Hlavní autoři:	Lechun Zhang, Pengchao Chen, Zhicheng Tang, Ruitao Ma, Meiting He, Hang Zhu, Yubin Lan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co., Ltd. 2026-06-01
Edice:	Artificial Intelligence in Agriculture
Témata:	Unmanned aerial vehicle Remote sensing Cotton Boll opening rate Cotton pixel ratio
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2589721726000152
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