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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Wenzheng Dai, Zhanhui Zhang, Zhixin Zhang, Huashuo Zhu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2026-05-01
Sarja:	Alexandria Engineering Journal
Aiheet:	Agricultural automation Crop recognition technologies Convolutional neural networks Object detection YOLOv8-GSC model Smart farming
Linkit:	http://www.sciencedirect.com/science/article/pii/S1110016826002498
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