Recently, unmanned aerial vehicles (UAV, Drone) are highly regarded for their potential in the agricultural field, and research and development are actively conducted for various purposes. Therefore, in this study, to present a framework for tracking research trends in UAV use in the agricultural field, we secured a keyword search strategy and analyzed social network, a methodology used to analyze recent research trends or technological trends as an analysis model applied. This study consists of three stages. As a first step in data acquisition, search terms and search formulas were developed for experts in accordance with the Keyword Search Strategy. Data collection was conducted based on completed search terms and search expressions. As a second step, frequency analysis was conducted by country, academic field, and journal based on the number of thesis presentations. Finally, social network analysis was performed. The analysis used the open source programming language 'Python'. Thanks to the efficiency and convenience of unmanned aerial vehicles, this field is growing rapidly and China and the United States are leading global research. Korea ranked 18th, and bold investment in this field is needed to advance agriculture. The results of this study's analysis could be used as important information in government policy making.

1. 서 론
2. 선행연구
    2.1 농업분야 무인기 활용 연구
    2.2 소셜 네트워크 분석
3. 연구의 절차
    3.1 연구 프레임워크
    3.2 데이터 수집
4. 데이터 분석
    4.1 기술통계 분석
    4.2 소셜 네트워크 분석
5. 결 론
References

• Seoung-Hun Bae(한국국토정보공사 공간정보연구원) | 배성훈
• Jungwoo Lee(한국국토정보공사 공간정보연구원) | 이정우
• Sang Kyu Kang(한국과학기술정보연구원) | 강상규
• Min-Kwan Kim(한국국토정보공사 공간정보연구원) | 김민관 Corresponding Author