1Department of Soil and Water Conservation Engineering, Agricultural Engineering College and Research Institute, Tamil Nadu Agriculture University, Coimbatore, India
2Agricultural Engineering College and Research Institute, Tamil Nadu Agriculture University, Coimbatore, India
*Corresponding author mail: arunadeviswce@gmail.com
Online published on 6 November, 2025.
This study presents a highly accurate method for predicting groundwater levels using Random Forest Regression (RFR) in Coimbatore, India’s Upper Bhavani River Basin area. Daily groundwater level data from 1995 to 2021 were analysed along with relevant environmental factors. The model demonstrated exceptional presentation, with R² values of 0.9999 and 0.9994 for training and testing datasets.
Groundwater Level Prediction, Random Forest Regression, Upper Bhavani River Basin, Machine Learning
