AI-Powered Water Resource Management in Smart Agricultural Systems

Authors- Sandhya R

Abstract--Agriculture accounts for over 70% of global freshwater withdrawals, placing immense stress on water resources, particularly in arid and semi-arid regions. With climate change, population growth, and environmental degradation intensifying pressure on freshwater availability, smart agricultural systems offer a sustainable path forward. Artificial Intelligence (AI) has emerged as a transformative tool for enhancing water resource management in agriculture, enabling real-time decision-making, optimizing irrigation, and improving crop yield while conserving water. This paper explores the foundational AI technologies employed in smart agriculture, including machine learning, computer vision, and Internet of Things (IoT) integration. It presents various use cases where AI contributes to efficient water utilization, such as precision irrigation, soil moisture prediction, and weather-informed irrigation scheduling. Real-world case studies from regions like Israel, India, and the United States highlight the measurable benefits of AI adoption in agriculture. The paper also addresses ethical and regulatory concerns, including data privacy, technological accessibility, and algorithmic transparency. Finally, it discusses challenges such as infrastructure limitations and data inconsistency, and concludes with a forward-looking discussion on innovations like edge AI, digital twins, and blockchain integration. Through a comprehensive review, this paper underscores the potential of AI to drive sustainable water use in agriculture and build climate-resilient farming ecosystems.

DOI: /10.61463/ijset.vol.13.issue2.381