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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Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
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Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/15/7/1581 |
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