Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications

• Main Authors: Irwan D., Ali M., Ahmed A.N., Jacky G., Nurhakim A., Ping Han M.C., AlDahoul N., El-Shafie A.
• Other Authors: 55937632900
• Format: Review
• Published: Springer Science and Business Media B.V. 2024
• Subjects: Deep learning; Forecasting; Generative adversarial networks; Learning systems; Numerical methods; Potable water; Agricultural activities; Daily activity; Existing problems; Learning models; Modeling process; Performance; Prediction methods; Quality of water; Quality parameters; Water quality predictions; Water quality
• Institution: Universiti Tenaga Nasional

The water is the main pivotal sources of irrigation in agricultural activities and affects human daily activities such as drinking. The water quality has a significant impact on various aspects and thus this review aims to addresses existing problems related to water quality prediction methods that...