Rapid population growth, increasing pressure on natural resources, and persistent disruptions to supply chains continue to challenge global food and water availability. Recent advances in remote sensing and artificial intelligence are creating unprecedented opportunities to support the agricultural sector with timely, data‑driven insights by enabling more accurate assessments of cropland dynamics and production, often at previously unattainable spatial and temporal scales. This session invites contributions that highlight innovative datasets, analytical methods, or operational frameworks that advance our understanding of agricultural systems. Topics of interest include cropland and crop‑residue mapping; robust biomass/yield estimation across seasons and environments; multi-source data fusion; detection of crop stress, disease, or pests; evaluation of conservation or precision‑agriculture practices; uncertainty quantification and model interpretability; and scalable workflows for operational monitoring and decision support. Together, these efforts will showcase how next‑generation geospatial technologies can strengthen global food and water security in an increasingly complex and resource‑constrained world.