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

01 October 2020 → 30 September 2024
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Image processing
    • Conservation and biodiversity
  • Engineering and technology
    • Pattern recognition and neural networks
  • Agricultural and food sciences
    • Sustainable agriculture
biodiversity grassland mowing pollinators video processing artificial intelligence
Project description

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.