Efficient water use and reliable crop production are increasingly critical under climate variability. This session focuses on advances that use environmental and agricultural data to support farm-level and regional decision-making. We invite contributions that combine remote sensing, modeling, and data-driven approaches to estimate irrigation demand, soil moisture, evapotranspiration, and crop yield at the farm scale.

Topics may include integrating satellite observations with field data, downscaling, developing predictive models for yield and water use, and translating these insights into practical guidance for farmers, advisors, and water managers. We also encourage studies that address uncertainty, scalability, and real-world implementation, including applications developed in collaboration with government and industry. Contributions that connect data to actionable decisions, such as irrigation scheduling, risk management, or resource allocation, are especially welcome. The goal is to highlight approaches that improve water efficiency, crop outcomes, and resilience in agricultural systems.

• A - Atmospheric Sciences
• GC - Global Environmental Change
• SY - Science and Society