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UltraLight Luma: Edge-Deployable Perception Network for Crop-Row Segmentation

1 reports1 reporting sourcesUpdated 23 hours ago

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UltraLight Luma is a low-parameter network for crop-row detection, outperforming U-Net and YOLO variants with 13.1k parameters and 25.23 mJ per inference. Suitable for low-resource agricultural robots. (2026-10-09).

Generated from attributed reports · Updated 2 hours ago

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10/9
  1. arXiv Robotics — research abstracts
    UltraLight Luma: Edge-Deployable Perception Network for Crop-Row Segmentation

    UltraLight Luma enables efficient crop-row detection with 13.1k parameters. It outperforms U-Net and YOLO variants while using 25.23 mJ per inference. Suitable for low-resource agricultural robots.

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