MCG-YOLOv8n: An Enhanced YOLOv8n Model for Segmentation of Adherent Buckwheat Seeds

To address the challenge of detecting adherent seeds in images of dehuller discharge from buckwheat processing, this study proposes an innovative approach using an enhanced YOLOv8n architecture, termed MCG-YOLOv8n. This model is specifically tailored for precise segmentation of adherent buckwheat se...

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Xehetasun bibliografikoak

Egile Nagusiak:	Shuaiming Guan, Shaozhong Lv
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2024-01-01
Saila:	IEEE Access
Gaiak:	Buckwheat adhesion segmentation YOLOv8 algorithmic optimization
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10680026/
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