A comprehensive review of AI-driven water-quality monitoring and prediction: advances, challenges, and future directions
Water quality has emerged as a critical global concern that requires advanced monitoring and management strategies. Traditional water-quality assessment methods predominantly rely on laboratory-oriented analysis that are time consuming, expensive, and are often labor-intensive. This study presents a thorough overview o...