Robust NIRS models for non-destructive prediction of mango internal quality

The results presented in this study confirmed that robust NIRS models can be developed to predict mango quality by considering the pre- and post-harvest factors involved in fruit quality. Further studies should assess the use of NIR spectra on fruits to address internal quality variation issues, as well as the ability of NIRS to predict fruit shelf life and eating quality at harvest.