Project

Automatic and unsupervised detection of weeds based on high resolution UAV imagery

Code
DOCT/006259
Looptijd
26-10-2023 → 21-09-2025 (Ongoing)
Doctoral researcher
Onderzoeksdisciplines
  • Natural sciences
    • Machine learning and decision making
    • Computer vision
    • Remote sensing
  • Agricultural and food sciences
    • Agricultural technology
Trefwoorden
Computervisie
 
Projectomschrijving
 

The goal of this doctorate is to develop a method to detect and identify weeds in an agricultural context, which will be done with high-resolution RGB and multispectral UAV imagery. An additional goal is to only rely on automatic and unsupervised/self-supervised machine learning models. This doctorate is part of the Europe Horizon project “Agroecology for weeds” (GOOD).