Key research themes
1. How can optimization and scheduling models improve irrigation water use efficiency in agricultural systems?
This theme explores quantitative and computational approaches such as linear programming and simulation models to determine optimal cropping patterns, irrigation scheduling, and water allocation to maximize agricultural benefits and water productivity. These methods are crucial for managing limited water resources, particularly under conditions of water scarcity and climate variability, by improving the timing and amount of irrigation water application at field and regional levels.
2. What role do deficit irrigation and water management strategies play in improving irrigation water use efficiency under water scarcity?
This research area focuses on irrigation management approaches such as deficit irrigation, where water is applied below full crop evapotranspiration requirements, to improve water use efficiency while minimizing yield loss. It addresses practical strategies for maximizing productivity per unit water, balancing economic returns, and sustaining agriculture in water-limited environments, employing field experiments, cost-benefit analyses, and assessments of physiological crop responses.
3. How can technological innovations, including sensor technologies and AI integration, enhance irrigation water use efficiency through real-time monitoring and smart management?
This theme investigates the development and application of smart irrigation systems integrating Internet of Things (IoT) sensors, remote sensing data, wireless communications, and artificial intelligence (AI) models for real-time environmental monitoring and automated irrigation control. These innovations aim to optimize irrigation scheduling, reduce water waste, and improve crop water productivity, particularly in precision agriculture contexts and under variable environmental conditions.