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P. Skobelev

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Open access Jul 2026

LGD-YOLO: An Asymmetric Lightweight Network with Dynamic Feature Alignment for Greenhouse Tomato Maturity Detection

LGD-YOLO is proposed as an asymmetric lightweight network adapted from YOLOv10n specifically for edge-based tomato maturity detection, integrating a C2f-GMKSF module utilizing grouped multi-kernel convolutions to extract multi-scale textures with limited computational overhead.

Xing Xu, Aixiang Wu, Yun Zhao et al. · 0 citations

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