TDS Measurement Using Machine Learning Algorithm

Abstract

Water being the primary source of our wealth and health is considered to be a major concern in this new era of technology and human invasion. Since the quality of water that we consume is a threatening alarm in the present scenario, the same must be analyzed and quantified to eradicate the ineffectiveness of the resource to a major extend. The water quality parameters as Total Dissolved Solvents, salinity, pH, turbidity has to be analyzed and subsequently should be controlled in order to have a better usage of the resource. An exclusive cost effective work is carried on to analyze qualitative parameters as Total Dissolved Solvents. The various salts were analyzed and classified depending on their optical properties. A simple photo sensor was fabricated and was transmitted through various water samples with some salt content and the salts are interpreted via machine learning approach. The work gave an insight to the major threats in the water scarcity and protection.