Year: 2025
Type: article
Abstract: Among the largest global health, environmental, and industrial issues is water pollution.The newest technologies, such as machine learning and the Internet of Things, are being studied to meet the growing demand for water monitoring solutions. In order to determine the factors of water quality, including temperature, turbidity, dissolved oxygen (DO), and pH level, and electrical conductivity in real-time and predict them, this study proposes a Smart Water System for Monitoring Quality, which combines of IoT sensors, cloud storage, and machine learning algorithms. To predict the degree of contamination and issue automatic alerts to the concerned parties through which necessary action can be taken, The gathered sensor data isArtificial Neural Network analysis(ANN) to enable prompt action in the urban and industrial water bodies as well as agricultural waters.
Author: Imran Ali S
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414093954