UltraLight Luma: A Novel Edge-Deployable Perception Network for Crop-Row Segmentation in Agricultural Robotics
The research proposes UltraLight Luma, an ultra-lightweight segmentation model designed for real-time crop-row detection from RGB images on resource-constrained hardware. It uses a U-Net inspired encoder–decoder structure with depthwise separable convolutions to achieve high parameter efficiency while maintaining reliable performance for agricultural robotics.