Application of near-infrared spectroscopy to sensor based sorting of a porphyry copper ore

From a logistic regression resulted that based on the NIR response, it was possible to reliably estimate a probability that the Cu grade of a sample is below the cut-off grade for economic processing of the ore. The predictors used in this regression were several characteristic spectral features of the NIR active mineralogy.