Machine Learning and Digital Innovation for Managing and Monitoring Water Resources

Abstract

This chapter aims to explore the transformative potential of artificial intelligence (AI), machine learning (ML) and digital innovations in water resource management and monitoring. It discusses various AI techniques and tools that enhance the controlling, analysis and managing water resources. These techniques are designed to address challenges such as data quality, technologies integration, and real-time decision-making. There are several case studies in the chapter, demonstrating successful implementation of AI and ML in water demand prediction, water quality monitoring, optimizing irrigation, efficient utilization and detecting anomalies in water management systems. The chapter emphasizes the need for interdisciplinary collaboration, robust data governance, and ethical considerations to fully realize the benefits of digital innovations in sustainable water management.