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Project

Computer vision and intelligent mowing patterns to automate biodiversity management in grasslands.

Optimal mowing patterns will be developed to restore the biodiversity of plants and pollinators in grasslands. These patterns will take into account grassland characteristics (local scale) and pollinator observation databases (broader scale). This novel strategy is field-data-demanding, requiring automated plant identification. This will be developed by advanced computer vision and AI techniques on visual footage of grasslands captured by drones.

Date:1 Oct 2020 →  Today
Keywords:video processing, pollinators, grassland mowing, biodiversity, artificial intelligence
Disciplines:Pattern recognition and neural networks, Sustainable agriculture, Image processing, Conservation and biodiversity