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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

Abstract

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.

4차 산업의 혁명과 관련하여 드론을 활용한 스마트 농업 시스템 구축이 요구된다. 농민의 방제 작업을 지원하고 효율을 높여주므로 농업의 고령화를 해결하는 역할로 급부상하고 있다. 그러나 운용적인 측면에서 드론의 효율성이 떨어지고 드론 활용에 대한 운영자와 소비자의 인식차이로 인하여 필요성이 감소되고 있다. 특히, 운영 기준 및 살포 효과에 대한 정확한 기준이 없어 소비자 측면에서 신뢰도가 감소하는 부분으로 작용하였다. 결국 드론 활용에 대한 분석의 연구가 희박하고 드론 방제사의 조종 실력에 따라 방제 효율의 편차가 크게 발생하여 방제 분야에서 드론의 보급을 저해하는 요소로 작용한다. 따라서, 본 논문에서는 기존에 운영되고 있는 드론 방제사의 운영 시스템을 확인하고 이를 보완하기 위해 시중에 판매되고 있는 방제 드론을 대상으로 실험을 실시하였고, 스마트운영모드를 기준으로 기체의 특성을 정확하게 파악하여 작업 일정 및 약량을 산출하기 위한 기초연구를 통해 소비자 요구에 맞는 농업용 방제 드론 운영시스템 구축을 위한 기초연구를 제안한다.

Keywords

References

  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.
  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. https://doi.org/10.5656/KSAE.2018.09.0.031
  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.