Classification

Multi-spectral image analysis of potato plants

Potatoes is one of the largest export products of the Netherlands.
There is a demand for an accurate measurement of the color of potato plants. This can potentially be used to detect potato diseases. During the summer of 2014, a large database of potato plants with multi-spectral image data is collected.

The research question is to what level potato diseases can be detected in the images.

Student: 1, Information Science / Technical Information Science / Applied Mathematics

Classification of unions using the Ensenso 3D camera

Unions are among the most consumed vegetables in the world. Several companies in the north of the Netherlands are interested in an automatic classification and measurement systems forĀ unions. This includes defect classification and size measurement.

The Ensenso 3D camera provides depth map of the unions. The idea is to do a 3D measurement on the union. The second task is to perform defect classification based on the near infrared image.

Student: 1, Information Science / Technical Information Science / Mathematics and Applications