
Presentation
Prof. Kim delivered a talk titled "AI-Enabled Earth Observation for Monitoring and Predicting the Hydrological Cycle: Focus on Droughts and Floods" as part of Session 2 — "Bridging Technology and Research for Sustainable Agriculture" — on April 22, 2026. The presentation introduced how artificial intelligence and satellite-based microwave remote sensing can be combined to retrieve soil moisture, vegetation water content, and hydrological states at regional and continental scales, enabling more accurate and timely prediction of drought onset and flood risk.
A central theme of the talk was the integration of physics-based modeling with machine learning approaches to advance Earth system understanding and prediction of climate extremes — work that carries direct relevance for agricultural water management across Asia and the Pacific, where communities are increasingly exposed to hydrological disasters driven by climate change.
Conference overview
The conference was organized around two thematic days: the first focused on smart agriculture and digital transformation, and the second on reforestation and carbon finance. Session 2, in which Prof. Kim participated, also featured Dr. Yvonne Pinto, Director General of the International Rice Research Institute (IRRI), who spoke on research-to-impact frameworks in rice science.
The event drew participants and discussants representing government ministries, international organizations, and academic institutions from India, Indonesia, Nepal, Pakistan, the Philippines, Vietnam, Bangladesh, Mongolia, China, Fiji, Malaysia, and Korea — reflecting the broad regional scope of the challenges addressed.






















