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Agricultural robots can now achieve reliable crop-row segmentation with a network boasting 13.1k parameters and consuming just 25.23 mJ per inference, drastically reducing edge deployment constraints.
Nighttime agricultural robots can now leverage daytime data, achieving effective navigation and task execution without the need for extensive nighttime image datasets.