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Department of AI Smart Farm Convergence Partners with Gangbuk District Office to Build a “CommunityBased Smart Farm Model”
Dt 2025.12.12 Hit 137

Department of AI Smart Farm Convergence Partners with Gangbuk District Office to Build a

Community-Based Smart Farm Model”

 

- Establishing the foundation for a virtuous cycle in which young technical talent can move seamlessly from education and hands-on training to entrepreneurship within the local community



[Photo] Students conducting strawberry cultivation practice at a smart farm operated by the Gangbuk District Office

 

The Department of AI Smart Farm Convergence successfully established an urban smart farm?based community cooperation model over the course of 2025 through industry-academia?government collaboration with the Gangbuk District Office.

 

By utilizing a smart farm training facility developed on idle land within the Gangbuk District Office, the department linked on-site student training with the formal curriculum. Students gained opportunities to acquire both theoretical knowledge and practical skills by directly practicing core technologies required in real industrial settings, including AI-based environmental control, analysis of growth data for strawberries and mini watermelons, automated irrigation systems, and smart sensor operation.

 

 

The most distinctive feature of this project is the implementation of a “local circulation smart farm model,” in which fruits produced through student training are directly distributed and sold within the Gangbuk district. With production, distribution, and consumption all occurring locally, the model simultaneously promotes youth talent development, revitalizes the local economy, and reduces carbon emissions. As a sustainable urban smart agriculture model, it is receiving positive evaluations and is expected to be widely benchmarked by other local governments.

 

 



Through this industry-academia-government collaboration, the Department of AI Smart Farm Convergence achieved three key goals: training practice-oriented smart farm professional,s establishing a local government based demonstration and training environment, creating social value through linkage with local agriculture and distribution systems

 

The Gangbuk District Office is also recognized for achieving policy outcomes such as fostering future-oriented agricultural talent and strengthening local food competitiveness by utilizing urban smart agriculture infrastructure. In particular, the project is meaningful in that it laid the groundwork for a virtuous cycle in which young technical talent can progress from education and training to entrepreneurship within the local community.

 

Professor Park Chan Soo, Chair of the Department of AI Smart Farm Convergence, stated, “Our department operates the nation’s first online smart farming curriculum, and through this collaboration with the Gangbuk District Office, we have established a representative model of community-based smart farming. Moving forward, we will continue to expand advanced smart farm technology education and take the lead in building a practical smart farming ecosystem that connects education, industry, and local communities through cooperation with local governments, companies, and research institutions.”

 

Meanwhile, the university’s Department of AI Smart Farm Convergence, which operates Korea’s first online smart farming curriculum, was established to cultivate professionals in smart farming and convergent technologies in AI and ICT. The department provides field-oriented practical knowledge through annual visits to domestic and international smart farm companies and special lectures by industry experts, while online theoretical courses enable students to participate without temporal or spatial constraints. Graduates may pursue careers as agricultural public officials in the smart farming sector such as agricultural extension officers or agricultural researchers or enter various industries including biotechnology companies, seed companies, crop breeding firms, agrochemical and crop protection companies, landscaping firms, and pharmaceutical companies.


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