YOLOv8-MSP-PD: A Lightweight YOLOv8-Based Detection Method for Jinxiu Malus Fruit in Field Conditions

Accurate detection of Jinxiu Malus fruits in unstructured orchard environments is hampered by frequent overlap, occlusion, and variable illumination. To address these challenges, we propose YOLOv8-MSP-PD (YOLOv8 with Multi-Scale Pyramid Fusion and Proportional Distance IoU), a lightweight model buil...

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Detalhes bibliográficos

Principais autores:	Yi Liu, Xiang Han, Hongjian Zhang, Shuangxi Liu, Wei Ma, Yinfa Yan, Linlin Sun, Linlong Jing, Yongxian Wang, Jinxing Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-06-01
coleção:	Agronomy
Assuntos:	Jinxiu Malus fruit YOLOv8 lightweight multi-scale feature fusion object detection
Acesso em linha:	https://www.mdpi.com/2073-4395/15/7/1581
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