YOLOv8-GSC: An agricultural crop precision detection model integrating lightweight network and attention mechanism

Visual perception and agricultural target recognition are core to advancing agricultural automation, yet existing CNN-based detection models face critical accuracy-efficiency trade-offs in scenarios with multi-scale targets and cluttered backgrounds. To address this, we propose YOLOv8-GSC, an improv...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Wenzheng Dai, Zhanhui Zhang, Zhixin Zhang, Huashuo Zhu
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2026-05-01
Цуврал:	Alexandria Engineering Journal
Нөхцлүүд:	Agricultural automation Crop recognition technologies Convolutional neural networks Object detection YOLOv8-GSC model Smart farming
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S1110016826002498
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!