Classifying Nitrate in Aqueous Solution using Supervised Machine Learning based on Spectroscopic Technique

Abstract

We demonstrate the classification of nitrate concentration in mixed solution based on spectroscopy measurements. Dimensionality reduction techniques and supervised machine learning classifiers were employed where the PCA-SVM model outperforms other models with 97.8% accuracy.