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Artificial Intelligence Technologies in the Monitoring and Analysis of Water Resources Data (An Analytical Study)
Summary
This review examines the application of artificial intelligence technologies — including smart sensors, satellites, and unmanned aerial vehicles — to the monitoring and analysis of water resources data. Researchers found that AI-powered platforms significantly improve data collection efficiency and analytical capacity for managing water quality and quantity, including emerging contaminants such as microplastics.
This study explores the importance of utilizing artificial intelligence (AI) technologies in the monitoring and analysis of water resources data. It focuses on the latest tools and platforms currently in use, including smart sensors, satellites, and unmanned aerial vehicles (UAVs) designed for data collection. The study also examines analytical techniques such as AI, machine learning, and predictive modeling, with an emphasis on their role in interpreting and understanding data. These technologies are assessed for their practical applications in water management, quality analysis, and forecasting future water needs. The paper highlights the contribution of AI in supporting environmental decision-making and formulating strategies for the conservation of water resources. The article offers a comprehensive overview of the integration of these technologies in addressing water-related challenges. It also presents recommendations for incorporating AI in sustainable policies and strategies.
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