YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection

Effective weed management is essential for protecting crop yields in cotton production, yet conventional deep learning approaches often falter in detecting small or occluded weeds and can be restricted by large parameter counts. To tackle these challenges, we propose YOLO-ACE, an advanced extension...

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Detalhes bibliográficos

Principais autores:	Qi Zhou, Huicheng Li, Zhiling Cai, Yiwen Zhong, Fenglin Zhong, Xiaoyu Lin, Lijin Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-03-01
Colecção:	Sensors
Assuntos:	weed detection deep learning YOLOv5s attention mechanism
Acesso em linha:	https://www.mdpi.com/1424-8220/25/5/1635
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