A Study on the Characteristic Analysis of the Pest Control Drones Using Smart Operating Mode

스마트운영모드를 활용한 방제드론 특성분석에 관한 연구

  • Lim, Jin-Taek (Department of Electricity, VISION College of Jeonju)
  • 임진택 (전주비전대학교 전기과)
  • Received : 2019.09.11
  • Accepted : 2019.10.20
  • Published : 2019.10.28


In relation to $4^{th}$ industrial revolution, it is required to build a smart agricultural system using the pest control drones, which are emerging fast these days as a role to support pest control work of farmers and improve aging issues in farming. However, the absence of accurate criteria on management of the pest control drones and the effect of pesticide application is leading to damage to crops by pesticides. The extreme shortage of analysis of management of the pest control drones and relevant studies, and big differences in pest control efficiency depending on the operation skills of controllers are the biggest reasons for the damage. Therefore, this paper suggests a basic study on agricultural pest control drone operation system buildup to make out working schedules and calculate the dosage of pesticide by understanding the features of the pest control drones properly based on the control using smart operating mode.


Supported by : Vision College of Jeonju


  1. D. H. Lee et al. (2017). Design of Control System for Blight Forecasting Based on Drone. Korean Society for Agricultural Machinery Journal of Academic Presentation, 22(2), 187-187. 1
  2. Y. M. Yoo. (2017). An Economc Analysis of Future Growth Industry for BUSAN: Focusing on the Drone. Regional Industry Review, 40(6), 95-123.
  3. J. K. Park, B. K. Seo & C. Oh. (2017). Development of High-tech industry and the evolution of Chinese industrial policy: Case of drone industry. The Journal of Modern China Studies, 19(1), 175-210. DOI : 10.35820/JMCS.19.1.6
  4. Y. I. Bae. (2016). Prerequisites for the Development of the Drone Industry. Gyeonggi : Gyeonggi Research Institute.
  5. J. S. Jung & K. I. Khoe. (2018). 6th Industrialization of Agriculture Utilizing the Technology of 4th Industrial Revolution. Journal of Digital Convergence, 8(5), 211-217. DOI : 10.22156/CS4SMB.2018.8.5.211
  6. Q. Zhang. (2018). A Study on the Strategies of China Smart Farming Development - From the Perspective of One Belt One Road Initiative and Made in China 2025 Plan -. Journal of Digital Convergence, 8(5), 251-261. DOI : 10.22156/CS4SMB.2018.8.5.251
  7. B. C. Kim. (2016). The ICT convergence agriculture automated machines designed for smart agriculture. Journal of Digital Convergence, 14(2), 141-148. DOI : 10.14400/JDC.2016.14.2.141
  8. S. H. Moon. (2017). Comparison of pesticide residue amounts in fruit trees applied by different spayers and spray volumes. master's thesis. Chungnam National University, Daejon.
  9. S. M. Kim. (2018). Die Problematik auf gesetzliche Terminologie und gewerbliche Nutzung von Drohnen. The Korean Journal of Air & Space Law and Policy, 33(1), 3-43. DOI : 10.31691/KASL33.1.1
  10. D. S. Choi, K. C. Ma, H. J. Kim, J. H. Lee, S. A Oh & S. G. Kim. (2018). Control Standards of Three Major Inserct Pests of Chinese Cabbage(Brassica campestris) Using Drones for Pesticide Application. Korean J. Appl. Entomol, 57(4), 347-354.
  11. C. K. Lee. (2011). A Study for the Standardization and Performance Management System of the Life Safety. Crisisonomy, 7(1), 23-42.
  12. B. R. Min, J. T. Hong, D. W. Lee & J. Y. Kim. (2013). The Performance Analysis for Amounts of Sprayed Quantity by Using the Small and Medium-Sized Sprayer. Journal of animal environmental science, 19(1), 19-24 DOI : 10.11109/JAES.2013.19.1.019
  13. U. S. Kim, J. B. Yi, C. B. Shin, J. H. Choi & S. B. Lee. (2009). Modeling of the Cycle Life a Lithium-ion Polymer Battery. Korean Chem. Eng. Res., 47(3), 344-348.