TeaPickingNet: Towards Robust Recognition of Fine-Grained Picking Actions in Tea Gardens Using an Attention-Enhanced Framework

With the emergence of smart agriculture, precise behavior recognition in tea gardens has become increasingly important for operational monitoring and intelligent management. However, existing behavior detection systems face limitations when deployed in real-world agricultural environments, particula...

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Hlavní autoři:	Ru Han, Ye Zheng, Lei Shu, Grzegorz Cielniak
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Agriculture
Témata:	tea garden picking behavior recognition YOLOv5 Faster R-CNN deep learning attention mechanism
On-line přístup:	https://www.mdpi.com/2077-0472/15/23/2441
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