Non-destructive quality measurements: image analysis
We are developing a colour cabinet together with Track32, a start-up that is specialized in computer vision and artificial intelligence. We are looking for a student that will set up the first pilot experiments, and pilot analyses. The colour cabinet can be used to segment individual fruits or plant parts from the background, and measure their appearance over time. For example, to see the effect of different treatments on shelf life, for phenotyping plants in breeding trials, or to see the effect of different growing strategies on yield.
Affinity with programming (R, Python, …) and image analysis is a pre.
Interested in doing a BSc or MSc thesis at HPP? Please contact the HPP student coordinator Katharina Hanika.