Research & development - Wageningen | More than two weeks ago
The goal of this project is to combine non-contact ultrasound probing with data analysis/machine learning to determine fruit firmness.
In this project we would like to set up non-contact ultrasound probing for the non-destructive assessment of fruit firmness. Fruit firmness is currently measured by a simple analysis of the acoustic response to contact excitation, i.e. ‘hitting’ or ‘tapping’ the fruit. For the case of e.g. apples, literature shows that the non-contact acoustic reflection can also be used to predict fruit firmness by careful selection of measurement parameters to correct for the distance-dependent dampening effect of air on the acoustic wave.
The student will perform ultrasound measurements in both air and water as a medium and is responsible for implementing suitable prediction models (multiple linear regression, principle component analysis, artificial neural network) to determine fruit firmness. Depending on the duration of the assignment, the student will additionally investigate the feasibility of sensor data fusion to determine fruit freshness, combining data from both acoustic and microwave probing.
Click on ‘apply’ to submit your application. You will then be redirected to e-recruiting.
Please be advised that non-EU/EEA country students that are studying outside of the Netherlands, need to have a work-permit to be able to do an internship in the Netherlands.