Open access
Jul 2026
Training noise sensitivity analysis of default and tuned classifiers for NIR spectroscopic detection of pinto bean adulteration
Four CPU-deployable classifiers are benchmarked under two complementary configurations (out-of-the-box and GridSearchCV-tuned) and the tuned PLS-DA is the least sensitive classifier when an offline search is feasible, whereas the out-of-the-box MLP is preferable under tight deployment budgets.
Raziyeh Pourdarbani, S. Sabzi, Dorrin Sotoudeh et al.
· Discover Food · 1 citation