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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Bibliografische gegevens

Hoofdauteurs:	Yi Liu, Xiang Han, Hongjian Zhang, Shuangxi Liu, Wei Ma, Yinfa Yan, Linlin Sun, Linlong Jing, Yongxian Wang, Jinxing Wang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2025-06-01
Reeks:	Agronomy
Onderwerpen:	Jinxiu Malus fruit YOLOv8 lightweight multi-scale feature fusion object detection
Online toegang:	https://www.mdpi.com/2073-4395/15/7/1581
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