DOI QR코드

DOI QR Code

농업분야 무인항공기(UAV) 활용 연구동향 분석

Research Trend Analysis of Unmanned Aerial Vehicle(UAV) Applications in Agriculture

  • 배성훈 (한국국토정보공사 공간정보연구원) ;
  • 이정우 (한국국토정보공사 공간정보연구원) ;
  • 강상규 (한국과학기술정보연구원) ;
  • 김민관 (한국국토정보공사 공간정보연구원)
  • 투고 : 2020.06.01
  • 심사 : 2020.06.23
  • 발행 : 2020.06.30

초록

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.

키워드

참고문헌

  1. Anderson, C., The drone economy, Harvard Business Review, 2017, pp. 49-63.
  2. Bae, S.-H., Kim, J.S., Shin, G.M., Yoon, J.S., Kang, S.K., Kim, J.H., Lee, J.W., Kim, M.K., and Han, C.H., Comparative analysis of co-authorship and keyword network for nanotechnology : carbon nanomaterials field, Journal of the Korean Society of Manufacturing Technology Engineers, 2017, Vol. 26, No. 2, pp. 172-184. https://doi.org/10.7735/ksmte.2017.26.2.172
  3. Calderon et al., High-resolution airborne hyperspectral and thermal imagery for early detection of verticillium wilt of olive using fluorescence, temperature and narrowband spectral indices, Remote Sens Environ, 2013, Vol. 139, pp. 231-245. https://doi.org/10.1016/j.rse.2013.07.031
  4. Choi, J.-W., Jang, J-H., Kim, D-H., and Yoon, J-H., Identifying interdisciplinary trends of humanities, sociology, science and technology research in korea using topic modeling and network analysis, Journal of Society of Korea Industrial and Systems Engineering, 2019, Vol. 42, No. 1, pp. 74-86. https://doi.org/10.11627/jkise.2019.42.1.074
  5. etnews, https://www.etnews.com/20191212000112.
  6. Kwak, K.Y., Social Network Analysis, Chunglam, Korea, 2013.
  7. Ministry of Land, Infrastructure and Transport, Act on Promotion and Infrastructure Development of Drone Utilization, http://www.law.go.kr.
  8. Lee, J.-W., Kim, M.-K., Lim, J.-S., and Bae, S.-H., Analysis of R&D program status in spatial information field using national R&D information on NTIS services, Journal of the Korean Society of Manufacturing Technology Engineers, 2019, Vol. 28, No. 6, pp. 358-367. https://doi.org/10.7735/ksmte.2019.28.6.358
  9. Na S.I., So, K.H., Park, C.W., Lee, K.D., and Ahn, H.Y., Will the drone lead the advancement of the observation business in the future?, Agricultural Outlook 2019 : Values and Opportunities of Agriculture and Farming, KREI, 2019.
  10. Park J.H. and Lee, H.C., Comparisions of airline service quality using social network analysis, Journal of Society of Korea Industrial and Systems Engineering, 2019, Vol. 42, No. 3, pp. 116-130. https://doi.org/10.11627/jkise.2019.42.3.116
  11. Schmale, III, D.G., Dingus, B.R., and Reinholtz, C., Development and application of an autonomous unmanned aerial vehicle for precise aerobiological sampling above agricultural fields, Journal of Field Robot, 2008, Vol, 25, No. 3, pp. 133-147. https://doi.org/10.1002/rob.20232
  12. Zitt, M. and Bassecoulard, E., Delineating complex scientific fields by an hybrid lexical-citation method : an application to nanosciences, Information Processing and Management, 2006, Vol. 42, No.6 pp. 1513-1531. https://doi.org/10.1016/j.ipm.2006.03.016