Research & development - Wageningen | More than two weeks ago
In this project we would like to set up near-field microwave probing for the non-destructive assessment of fruit ripeness. Fruit ripeness is correlated to moisture content, pH and sugar content, which are typically measured using destructive techniques. For the case of e.g. mango’s, literature shows that the complex permittivity of the fruit flesh in the 1-4 GHz range is strongly correlated to moisture content and can be used as a nondestructive indicator of ripeness. It also has been shown that this correlation can be improved by excluding the contribution of the fruit skin to the measured permittivity by using a layered permittivity model. The student will be responsible for performing broadband permittivity measurements in the 1-4 GHz range using an open-ended coaxial probe and the implementation of the layered model. 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 microwave and acoustic probing using e.g. machine learning techniques.
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