3D 스마트 팜 시뮬레이션 (3D Smart Farm Simulation)

서지정보

· 발행기관 : 적정기술학회
· 수록지 정보 : 적정기술학회지(Journal of Appropriate Technology) / 11권 / 1호 / 1 ~ 7페이지
· 저자명 : 김정준

초록

현대 농업사회에서는 농가의 환경을 자율적으로 혹은 수동적으로 조정할 수 있는 스마트 팜 시스템이 점차적으로 적용되고 있다. 이러한 시스템은 농작물의 생장 환경을 실시간으로 모니터링하고, 자동 제어를 통해 농가의 노동력을 절감하며 생산성을 향상시키는 데 기여하고 있다. 이에 따라 다양한 계층의 농업 종사자들이 스마트 팜 시스템을 도입하고 있으나, 기대만큼의 효율성을 체감하지 못하는 경우도 발생하고 있다. 특히 초기 구축 비용 대비 실질적인 편리성과 수익개선 효과가 미흡하다고 판단하여, 설치된 시설을 철회하는 사례가 점차 증가하는 실정이다. 스마트 팜 시스템의 성공적인 보급과 정착을 위해서는 단순히 기술을 제공하는 것을 넘어, 농업인들이 직접 효율성을 검증하고 경험할 수 있도록돕는 접근이 필요하다. 이를 위해 본 논문에서는 사업 예산에 따라 설치 가능한 다양한 스마트 팜 시설을 사용자가 직접조정해볼 수 있도록 시뮬레이션 시스템을 설계하였다. 이 시뮬레이션은 사용자에게 가상의 환경에서 스마트 팜의 기능을 간접적으로 체험할 수 있게 하며, 각각의 시설이 농가에 주는 효과와 효율성을 수치로 비교 분석할 수 있는 도구를 제공한다. 이를 통해 농업사회 구성원들은 스마트 팜의 실제적 필요성과 투자 가치를 체감할 수 있게 되며, 더 나아가 안정적인 기술 정착과 지속 가능한 농업 환경 조성에도 기여할 수 있을 것으로 기대된다.

영어초록

In modern agricultural societies, smart farm systems that allow for both autonomous and manual adjustment of farming environments are increasingly being adopted. These systems contribute to improved productivity by enabling real-time monitoring of crop conditions and reducing the labor burden on farmers through automated control. Consequently, many farmers from various socioeconomic backgrounds have begun implementing smart farming technologies. However, a growing number of these users find it difficult to fully experience the expected convenience and efficiency, and due to the high initial installation costs and disappointing outcomes, many farmers are withdrawing their facilities. For smart farm projects to succeed and be widely accepted, it is essential not only to provide the technology but also to enable farmers to understand and experience its efficiency firsthand. This study proposes a simulation system designed to allow users to manually adjust the types of smart farm facilities installed based on varying levels of investment budgets. The simulation offers a virtual environment in which users can indirectly experience the functions of a smart farm system, and it provides tools to analyze and compare the efficiency and impact of each component quantitatively. Through this experience, members of agricultural communities will gain a deeper understanding of the practical value and necessity of smart farming technologies. Ultimately, this approach aims to reduce the barriers to adoption, promote the sustainable implementation of smart farming solutions, and support the development of a more efficient and resilient agricultural infrastructure.In modern agricultural societies, smart farm systems that allow for both autonomous and manual adjustment of farming environments are increasingly being adopted. These systems contribute to improved productivity by enabling real-time monitoring of crop conditions and reducing the labor burden on farmers through automated control. Consequently, many farmers from various socioeconomic backgrounds have begun implementing smart farming technologies. However, a growing number of these users find it difficult to fully experience the expected convenience and efficiency, and due to the high initial installation costs and disappointing outcomes, many farmers are withdrawing their facilities. For smart farm projects to succeed and be widely accepted, it is essential not only to provide the technology but also to enable farmers to understand and experience its efficiency firsthand. This study proposes a simulation system designed to allow users to manually adjust the types of smart farm facilities installed based on varying levels of investment budgets. The simulation offers a virtual environment in which users can indirectly experience the functions of a smart farm system, and it provides tools to analyze and compare the efficiency and impact of each component quantitatively. Through this experience, members of agricultural communities will gain a deeper understanding of the practical value and necessity of smart farming technologies. Ultimately, this approach aims to reduce the barriers to adoption, promote the sustainable implementation of smart farming solutions, and support the development of a more efficient and resilient agricultural infrastructure.

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