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...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Qi Zhou, Huicheng Li, Zhiling Cai, Yiwen Zhong, Fenglin Zhong, Xiaoyu Lin, Lijin Wang
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2025-03-01
श्रृंखला:	Sensors
विषय:	weed detection deep learning YOLOv5s attention mechanism
ऑनलाइन पहुंच:	https://www.mdpi.com/1424-8220/25/5/1635
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