코로나-19 이후 세계 식량 부족 인구가 1억 3천만 명에서 2억 7천만 명으로 2배 이상 증가했다. 여기에 기후변화 등 식량 산업과관련된 다양한 이슈들이 생겨나는 가운데 농·축산 분야의 중요성이 더욱 높아지고 있다. 특히 현장에서 발생하는 데이터의 활용에는여전히 어려움을 겪고 있다. 본 논문에서는 단편적 분석 중심의 데이터 활용의 한계 및 디지털 트윈의 필요성을 설명하고, 디지털 트윈기술의 적용을 통해 농·축산 생산 분야에 적합한 아키텍처 및 필요한 기술을 제안하였다. 시설원예, 축산 등에 지능정보 융합 기술을접목하여 노동력 절감과 생산성 향상, 개인화된 소비, 운송, 유통 등 가까운 미래에 사용될 수 있는 디지털 트윈 기반의 서비스도 제안하였다.
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