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Project

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

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.

Date:1 Sep 2016 →  31 Mar 2018
Keywords:Fertilizer spreader, stereovision, spread pattern, Image processing
Disciplines:Multimedia processing, Biotechnology for agriculture, forestry, fisheries and allied sciences, Agriculture, land and farm management, Fisheries sciences, Biological system engineering, Signal processing