AIoT-Based Water Management Solutions for Sustainable Sugarcane Farming

Efficient water management is crucial for sustainable sugarcane farming, particularly in regions with water scarcity. This study investigated the implementation of an AIoT-based water management system designed to optimize irrigation in sugarcane fields. By integrating Artificial Intelligence (AI) with Internet of Things (IoT) technology, the system leverages real-time data from sensors monitoring soil moisture, weather conditions, and plant health. The AI component employs Long Short-Term Memory (LSTM) algorithms to predict optimal irrigation schedules, ensuring precise water delivery tailored to the crop's growth stages. Additionally, the system utilizes solar-powered pumps to enhance sustainability by reducing reliance on non-renewable energy sources. Preliminary results indicated that the AloT system significantly improved water use efficiency, crop yields, and operational cost-effectiveness. This research highlights the potential of AIoT solutions in addressing water management challenges in agriculture, promoting both productivity and environmental conservation.