Advanced AI Driven Solution for Precise Water Management in Irrigation Systems

The research provides an artificial intelligence (AI) approach that uses data from temperature and soil moisture sensors stored in the cloud to provide precise water management in agricultural irrigation systems. To assess irrigation demands, the proposed method compares real-time sensor readings with specified threshold levels. This automated procedure increases crop productivity, conserves water, and supports environmentally friendly farming methods. Proactive intervention, accurate decision-making, and the combination of AI algorithms and IoT sensors enables real-time adjustments to irrigation processes. In order to accommodate different farm sizes and geographic locations, the suggested system offers scalability, adaptability, and user-friendly interfaces. This helps to promote sustainable agriculture and resource conservation.