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[2025-12-15]Rural Development Administration Discusses AI-Based Agricultural Observation System

The Rural Development Administration (RDA) and the Korea Rural Economic Institute (KREI) jointly held the ’17th RDA-KREI Policy Research Council’ on December 15, under the theme ‘AI Transformation, National Agricultural Policy and R&D Strategy.’ The council discussed AI-based future agricultural policies and R&D cooperation plans, and signed a memorandum of understanding (MOU) on ‘Utilizing Agricultural Satellite Information and Enhancing Agricultural Observation.’

Jung-Sik Oh, Director of Naver Cloud, delivered a keynote speech on ‘Business Processes and Future Prospects Changed by Generative AI,’ while Kang-Ho Jung, Director of the Technology Convergence Strategy Division at RDA, presented the ‘AI Convergence Strategy for Rural Development Projects.’ Seok-Il Lee, Head of the Observation Model Team at KREI, presented a scientific observation system to improve the accuracy and speed of crop and supply-demand forecasts using AI.

In the comprehensive discussion, practical cooperation measures such as linking and sharing agricultural data, establishing an AI-based agricultural observation system, advancing satellite information analysis models, and expanding joint research were discussed. Prior to the council, the RDA’s Agricultural Satellite Center and KREI’s Agricultural Observation Center signed an MOU on ‘Utilizing Agricultural Satellite Information and Enhancing Agricultural Observation.’

Through this agreement, the two institutions will establish a cooperative system to introduce agricultural satellite imagery into the entire agricultural observation process and will actively promote the scientific enhancement of agricultural observation by combining satellite information analysis with field and aerial survey data. This will increase the utilization of agricultural satellite imagery and strengthen the national agricultural observation network, supporting the new government’s policy of establishing a satellite-based observation system.


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