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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Lechun Zhang, Pengchao Chen, Zhicheng Tang, Ruitao Ma, Meiting He, Hang Zhu, Yubin Lan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	KeAi Communications Co., Ltd. 2026-06-01
coleção:	Artificial Intelligence in Agriculture
Assuntos:	Unmanned aerial vehicle Remote sensing Cotton Boll opening rate Cotton pixel ratio
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2589721726000152
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!