Rapid evaluation of grape phytosanitary status directly at the check point station entering the winery by using visible/near infrared spectroscopy

A classification analysis (Partial Least Squares - Discriminant Analysis, PLS-DA) was applied on grape spectra in order to test the classification performance of the system. The results obtained from PLS-DA models, in validation, gave a classification accuracy between 89.8% and 94.0%. Results demonstrated that the system is capable to provide useful information about wine grape phytosanitary status for a better management of the vinification process.