Remote Sensing and AI-Driven Methodology for Corn and Bean Area and Yield Estimation in Honduras: A Pilot in the Departments of Olancho and El Paraíso

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On May 11-15, 2026, 4 delegates representing SISAGRO Honduras and CENAOS–COPECO participated in a knowledge exchange, on the margins of Korea Green Innovation Days (KGID 2026)

Coordinated by the National Center for Agricultural Meteorology (NCAM), delegates were involved a series of technical workshops, institutional meetings, and field visits with key Korean partners, including KMI/KMITI, KNCAF, KREI, KISTI, Statistics Korea, Weathex, Geospatial International, and the KMA/KMI Meteorological Inspection and Certification Center, as well as coordination with the Embassy of Honduras in Korea.

Delegates participated in a training on technical standards and calibration for Automatic Weather Stations (AWS), including a visit to a certification center, and workshops on developing a scalable public agricultural data infrastructure. The exchange also covered practical applications of remote sensing, AI, and drone technology for crop monitoring.

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Together, the visits helped define preliminary technical criteria for 14 Automatic Weather Stations deployment in Honduras and consolidate a scalable data architecture framework.

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Grant: Remote Sensing and AI-Driven Methodology for Corn and Bean Area and Yield Estimation in Honduras: A Pilot in the Departments of Olancho and El Paraíso
Grant Year: Year 13 (2025)
TTLs: Francisco Javier Bueso Ucles, Senior Agriculture Economist; Ena Shin, Agriculture Economist