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Author

Fu-Qin Deng

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Open access Sep 2026

YOLO-Banana-Seg: a lightweight and efficient model for rapid segmentation of banana bunches and stalks in complex orchards

An improved YOLOv11-based segmentation model, YOLO-Banana-Seg, for banana bunches and stalks is proposed, which achieves high segmentation accuracy while reducing parameters and computational complexity, ensuring its applicability in resource-limited scenarios.

Run-Bo Fu, Fu-Qin Deng, Zhi-Jie Wu et al. · 0 citations
Open access Aug 2026

ScaleEdgeFusion-Network: a lightweight and efficient model for citrus maturity detection in complex orchards

ScaleEdgeFusion-Net (SEF-Net), a lightweight object detection framework built on YOLO11n, achieves higher detection accuracy with significantly lower computational requirements, making it suitable for deployment on resource-constrained harvesting robots in precision agriculture applications.

Lan-Hui Fu, Zhi-Jie Wu, Yingying Song et al. · 0 citations

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