Modeling and Optimization of Signals Using Machine Learning Techniques

14Machine Learning-Based Water Monitoring System Using IoT

T. Kesavan^1*, E. Kaliappan¹, K. Nagendran² and M. Murugesan³

¹Department of Electrical and Electronics Engineering, Easwari Engineering College, Chennai, India

²Department of Artificial Intelligence and Data Science, Saveetha Engineering College, Chennai, India

³Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, India

Abstract

One of the most important components on Earth is water, and it is needed for living things to survive. There is no life on Earth without water. Water is used for a number of purposes besides drinking. Water that is fit for consumption is referred to as potable water. Polluted water is one of the most critical challenges for green globalization. In order to ensure the safety of water, it must be monitored in real-time. The proposed method is used to determine various water parameters by monitoring water quality using data collected by sensors submerged in a water tank. A machine learning-based water monitoring system is proposed and, using multiple sensors, this system can collect a variety of data from the water, including temperature, pH, and water clarity.

Keywords: Internet of Things (IoT), machine learning, water quality management, water resource management

14.1 Introduction

Water has become a valuable resource that is used in almost all human activities. The availability of fresh water is diminishing by the day, and the efficient utilization ...