Daedong and Seoul National University Partner in Smart Agriculture

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Daedong, a South Korean agricultural machinery manufacturer, partners with Seoul National University to promote research and development in the smart farming sector

The alliance plans to introduce a future subscription-based farming platform and personalized health care based on smart farm and crop growth recipes. (Image source: Adobe Stock)

Daedong, the parent company of Daedong Group, announced the signing of a Memorandum of Understanding with Seoul National University to “promote research cooperation and commercialization in the field of smart agriculture”.

Daedong’s roadmap for the smart farm business, one of its three major future farming activities, is first to develop growth recipes (solutions) for high-functionality and general crops and to establish a production and distribution ordering system, to then lead to personalized health care business and future subscription-type agricultural platform.

To initiate this activity, strategic cooperative relationships are being established with leading national institutions, universities and enterprises in the agricultural and organic sectors. As a starting point, a memorandum of understanding was signed with Seoul National University on the 26th in a ceremony at the Seoul National University campus in Gwanak-gu, Seoul, attended by senior officials such that Daedong CEO Yoo-Hyun Won and the Se-Jung Oh, Chancellor of Seoul National University.

Based on this MOU with the university, Daedong plans to jointly build a smart farm test bed on campus, and also jointly operate a complex light-source rooftop smart farm that uses the natural light and artificial LED solar power, which was built on the fifth floor of the Daedong Seoul Office Building earlier this year, to develop growth recipes (solutions) for highly functional crops.

In addition, marketing of personalized nutrition services using highly functional cultures for personal health promotion will also be conducted. In addition, Daedong aims to strengthen the competitiveness of intelligent agricultural machinery technology by developing autonomous driving algorithms such as trajectory creation, tracking control and real-time control for cluster and unmanned machine work. agriculture such as tractors, combines and transplanters.

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