Optimizing Water Consumption in Agriculture Using an AI-Based Irrigation Management System

Water scarcity is a critical challenge for sustainable agriculture, necessitating innovative approaches to optimize irrigation. This study presents an Artificial Intelligence (AI)-based irrigation management system designed to enhance water use efficiency in agricultural settings. By integrating real-time data from soil moisture sensors, weather forecasts, and crop water requirements, the system employs machine learning algorithms to generate precise irrigation schedules. Field trials in a semi-arid region demonstrated a 25% reduction in water usage while maintaining or improving crop yields compared to traditional methods. This paper discusses the system’s design, methodology, results, and potential for scalability in addressing global water conservation challenges.