Comparison of several supervised pattern recognition techniques for detecting additive methamidophos in rotenone preparation by near-infrared spectroscopy

- We compare the performances of the four classifiers in detecting additive pesticide.
- SVM is proved to be the most effective technique.
- PCA is an effective spectra reduction tool for nonlinear techniques.