Analysis of a Sample by the MID Infrared Spectrometer of the Lab-in-a-box in the Golden Standard Laboratory.
Machine learning is, in essence, the process of applying algorithms to identify patterns in the data that correspond with the ground truth of that data. In our case, the ground truth is the reference values obtained in the Golden Standard Laboratory, and the patterns are the spectra for each sample obtained from the Scanner and the LiaB.
The regression model calculates a function to transform a spectrum into each of its reference values. For example, the presence of a significant peak in the spectrum could correspond with a high Potassium concentration.