Development of an image based 3D technique to determine spread patterns of fertilizer spreaders

01 September 2016 → 31 March 2018
Regional and community funding: Special Research Fund
Research disciplines
  • Engineering and technology
    • Multimedia processing
    • Biological system engineering
    • Signal processing
  • Agricultural and food sciences
    • Agriculture, land and farm management
    • Biotechnology for agriculture, forestry, fisheries and allied sciences
    • Fisheries sciences
Fertilizer spreader stereovision spread pattern Image processing
Project description

In this research, a system is developed to determine spread patterns of fertilizer spreaders. Image processing (3D stereovision) is used to determine parameters of ejected fertilizer particles. By using this information in a ballistic model, individual landing positions of particles can be predicted and the spread pattern can be determined in three spatial dimensions in an accurate, labor-extensive and efficient way.