AI in Water Conservation: Smart Solutions for a Sustainable Future

Abstract

Water scarcity is a growing global concern, necessitating innovative solutions for sustainable water management. This paper examines the role of AI in water conservation through smart irrigation, leak detection, and real-time water quality monitoring. It explores AI-powered predictive analytics for optimizing water distribution, reducing waste, and preventing contamination. Case studies highlight AI applications in agriculture, urban water systems, and industrial water management, addressing challenges related to cost, scalability, and infrastructure integration. The study concludes with recommendations for policymakers and businesses to adopt AI-driven strategies for long-term water sustainability.