Monitoring and modelling of water quality parameters using artificial intelligence

• Main Authors: Omar D.P.M.A., Hayder G., Hung Y.-T.
• Other Authors: 58313272000
• Format: Article
• Published: Inderscience Publishers 2024
• Subjects: artificial intelligence; monitoring; prediction model; water quality; Bioremediation; Forecasting; Global system for mobile communications; Internet of things; Neural networks; Population statistics; Redox reactions; Support vector machines; Water pollution; Low-costs; Model of water quality; Monitoring system; Oxidation-reduction potentials; Prediction modelling; Rapid population growth; Solid oxidation; Total dissolved solids; Treatment systems; Water quality parameters; Water quality

Rapid population growth leads to an increase in demand for water and spikes levels of water pollution. In this study, a low cost and innovative internet of things (IoT) device was used in the monitoring of water quality parameters. The monitoring system implemented used consists of maker-UNO as the...