인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study used bibliometric methods to analyze Korean smart farm research from 2015-2024, examining 730 articles across two periods: 2015-2019 and 2020-2024. Korean smart farm research showed rapid growth with a 47.8% compound annual growth rate. Engineering dominated with 49.9% of publications, while IT-related journals comprised 66.7% of top journals, confirming its technology-focused and engineering-driven nature. Regional flagship national universities led research as central hubs, with growing industry-academia-research collaborations. Keyword analysis revealed explosive growth in AI-related terms including AI, Deep Learning, and Machine Learning, confirming AI technology's expanding influence. Thematic cluster analysis identified 11 research clusters within an integrated smart farm technology ecosystem, including precision agriculture, environmental monitoring, next-generation facilities, and predictive analytics. Thematic evolution showed a paradigm shift from Period 1's basic hardware and ICT convergence focus to Period 2's emphasis on AI-based applications, technology commercialization, urban agriculture, food security, and social problem-solving. The study recommends strengthening industry-academia-research ecosystems, expanding international cooperation, advancing AI-based convergence research, and expanding technology acceptance and commercialization research to activate Korean smart farm research.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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