A Review of the Application of Artificial Intelligence in Watershed Management

In future, many sectors will depend on artificial intelligence (AI) play a key role in the smart identification of water resources. Gathering of diverse primary and secondary data about water resources, which will be analyzed by automatic machine learning. This kind of water resource potential and pollution model can be characterized by AI tools. The availability of hydrological data, such as for optimizing irrigation schemes, predicting floods and droughts, monitoring water quality, managing dams, managing water supply, and modeling contaminant transport, among others, provides an ideal condition to create AI that allows us to expand our existing knowledge to manage water resources. Artificial intelligence has enabled the creation of intelligent machine-learning training datasets to solve the problems of water resource management. This artificial intelligence study shows water resource potential problems and further improvement techniques. AI-based water network management provides an understanding of the tools to be developed in the field of hydrology and hydrogeology for quick identification of suspect problems. This program predicts water quality and quantity according to decision-making processes. Integrate the knowledge and skills needed to assess the impact on water resource planning and management due to population growth, climate change, and land use changes. Overall, data-driven and AI tools for water resources support decision-making for effective sustainable water resource management. This study is an attempt to present a review of the application of AI in water resource management in watersheds for planning, modeling, prediction-based decision systems, forecasting, decision support frameworks, and optimization.