VBP-YOLO-prune: Robust apple detection under variable weather via feature-adaptive fusion and efficient YOLO pruning

VBP-YOLO-prune: Robust apple detection under variable weather via feature-adaptive fusion and efficient YOLO pruning

Apple-picking robots are increasingly applied in smart agriculture, but their performance is limited by complex orchard conditions such as unstable lighting, occlusion, and weather variations. This study proposes an optimized lightweight detection model, VBP-YOLO-prune, based on YOLOv8n, to enhance...

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Bibliographic Details
Main Authors: Haohai You, Hao Wang, Zhanchen Wei, Chunguang Bi, Lijuan Zhang, Xuefang Li, Yingying Yin
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Alexandria Engineering Journal
Subjects:
apple detection
YOLOv8
deep learning
lightweight deployment
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016825008828
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http://www.sciencedirect.com/science/article/pii/S1110016825008828

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