16AGRITECHCAT5: 3D Vision-based Crop-Weed Discrimination for Automated Weeding Operations

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This project will investigate technical foundations for the next generation of robotic weeding machinery enabling selective and accurate treatment of individual weeds. The investigated technology is a novel combination of low-cost 3d sensing and learning software together with a suitable weed destruction technique. The proposed developments will lead to more efficient cultural weeding equipment resulting in better management of weeds and reduced input use bringing several benefits to good producers, sellers and society.