Adulteration and Nonconformities

The detection of food nonconformities and adulteration is another important challenge that HSI can tackle, thanks to its spatial resolution feature. 

and 1217 nm) were selected to build a multivariate linear model (MLR) and yielded a good performance prediction R cross-validation equal to 0.98). However, despite the good performance of HSI in this particular application, one can speculate about its relevance as it is used as a mere spectrometer (the pixel spectra are averaged) on this homogeneous sample (minced meat). 

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