Recording of a presentation at Hyperspectral Imaging Application Center (HIAC) on object quality estimation in perClass Mira
The video below is a recording of 10 June 2021 presentation at Hyperspectral Imaging Application Center (HIAC)
In this presentation we walk through the entire work-flow of creating object quality estimation solution in perClass Mira. We demonstrate how to build regression modeling on object level. This is useful for applications such as tomato brix estimation, fruit firmness of plant stress monitoring. We also illustrate how a data set can be cleaned using outlier scoring and error plots and how multiple performance criteria can be estimated. An example of scalability of regression analysis is demonstrated.