We are addressing the challenges of sustainable crop and water management under a changing climate!
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Evapotranspiration Modeling & Irrigation Decision Support Systems
Advancing evapotranspiration modeling and irrigation decision-support systems through innovative, state-of-the-art methodologies. These include calibration-free approaches, high-resolution weather forecasting, crop model-based irrigation apps, and GIS-based decision-making tools. These advancements aim to enhance agricultural water efficiency and optimize resource management across diverse environmental conditions.
Sustainable Agriculture
Investigating crop responses to climate and environmental stressors (e.g., heat, salinity) using advanced process-based and statistical crop modeling, while exploring innovative irrigation practices and sustainable water use strategies to support sustainable agriculture.
Water-Energy-Environment-Food Nexus Modeling
Developing integrated computational frameworks to address complex interdependencies among water resources, energy demands, agricultural production, and environmental impacts under global change scenarios.
Machine Learning & Remote Sensing Applications
Leveraging AI, deep learning, and remote sensing technologies for precision agriculture, including pest detection, land use prediction, and soil moisture analysis, to drive innovation in sustainable agricultural systems.
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