Spectral imaging offers non-destructive way to characterize quality of diverse food products. It enables high-throughput estimation of brix, acidity, fruit firmness or moisture content. Compared to point spectroscopy, spectral imaging enables also spatial analysis of heterogeneous products. This allows for novel work-flows such as automated object detection and quality estimation or for characterization of spatial distributions.
In this presentation, we introduce a portable integrated spectral imaging system combining state-of-the-art spectral sensors and data analysis software. We will demonstrate how it is possible to build quality estimation solution in-house without programming or chemometric expertise and how such a solution can be applied along with standard destructive measurements.
- 15:10-15:35
- Zaal 3
