Smart Water Systems: AI and IoT in Precision Irrigation

Abstract

Freshwater is the most extensively extracted natural resource worldwide, despite being essential to ecosystem health and human survival. A scarcity in the circulation rate, which occurs when the demand for freshwater exceeds the supply, can be caused by excessive freshwater use. The most water-intensive sector is agriculture, which accounts for around 70% of that withdrawal volume. As climate change exacerbates this issue, traditional irrigation methods prove inadequate, leading to unsustainable practices such as over-extraction and soil degradation. The integration of smart water systems, leveraging Artificial Intelligence (AI) and the Internet of Things (IoT), presents innovative solutions for enhancing water use efficiency through precision irrigation. This approach enables farmers to deliver the right amount of water at optimal times, significantly improving crop yields and sustainability. The chapter explores the role of AI in precision irrigation, detailing various machine learning techniques that forecast water needs and optimize irrigation schedules based on real-time data. It also discusses the challenges of sensor accuracy, data integration, and economic barriers to adoption, particularly for smallholder farmers. Furthermore, the chapter highlights future trends in AI and IoT technologies, emphasizing the importance of government support and standardized practices for the widespread implementation of smart irrigation systems. Ultimately, in view of growing water scarcity, this chapter emphasizes how cutting-edge irrigation technologies may revolutionize agricultural water management and ensure food security. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.