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.
· Agriculture · 0 citations