Living Lab Dataset

AI-powered ultra-high-resolution drone imaging for precision crop protection through weed, disease, and pest detection

AI; Drones; Deep learning...

Agrifood Technology

The living lab uses ultra-high resolution RGB images on drones and AI for the detection of weeds, diseases and pests in arable crops. A specific data processing pipeline is used to reduce the labor intensive annotation tasks associated with deep learning for anomaly detection. Task maps will be created resulting from this detection pipeline to perform site-specific spraying.

Digital Components

  • Hardware: DJI M600
  • DJI M350
  • Rasperry pi 5b and pico
  • Septentrio GPS/GNSS receiver
  • 2 RTK antennas
  • Netgear nighthawk M2 router
  • Software: QGIS
  • The data processing software
  • Sensors: Sony Alpha 7 III

Type

  • UAV
  • data processing pipeline

Living Lab Country

  • Belgium

Application Scenarios

  • Pest management & spraying efficiency

Agricultural Sector

  • Arable crops

Required Skill Level

  • High

Target users

  • Farmers
  • Contractors
  • Drone pilots
  • Advisors

Country of Origin

  • The drones (DJI) - China; The raspberry pi and pico - United Kingdom; The GPS receiver - Belgium; The Netgear router - United States; The software and AI models - Belgium; The camera (Sony) - Japan.