AI & ML based Prediction of Electrical Conductivity of Water

The Nainital lake of Uttarakhand is the subject of this research study. This study has attempted to predict the electrical conductivity of water of this lake. The prime factors on which the electrical conductivity depend are ionic concentration, pH, temperature, and the total dissolved solids. The value of electrical conductivity indicates the pollution level of the water. In the present work, neural network and regression tree based prediction models for electrical conductivity have been developed in MATLAB by using the available data. A comparative analysis of both developed models has also been carried out.