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Agricultural Autonomous Robots System for Automatic Transfer of Agricultural Harvests

수확물 자동 이송을 위한 농업용 자율주행 로봇 시스템

  • 김종실 (순천대학교 컴퓨터공학과) ;
  • 김응곤 (순천대학교 컴퓨터공학과)
  • Received : 2021.07.15
  • Accepted : 2021.08.17
  • Published : 2021.08.31

Abstract

In order to solve problems such as a decrease in the agricultural population and an aging population, research on agricultural robots is being actively conducted for the purpose of automating various agricultural tasks. The harvesting process is the most labor-intensive process among farm work and this process consumes about 2-3 times more compared to other processes. Since the transport of agricultural crops requires the most labor costs and there is a risk of injury during the operation, automating the transport operation through an agricultural robot can improve safety and significantly improve productivity. Therefore, this paper proposes an agricultural robot that is optimized for farm worksites and capable of autonomous driving.

농업인구의 감소, 고령화 등의 문제를 해결하기 위해 다양한 농작업의 자동화를 목적으로 농업용 로봇의 연구가 활발히 진행 중이다. 농가 작업 중 가장 노동력이 많이 투입되는 과정은 수확 과정으로 타 과정 대비 약 2~3배 소모된다. 농가의 수확물 이송 작업은 인건비가 가장 많이 들고 작업 중 부상의 위험성도 있기 때문에 이송 작업을 농업용 로봇을 통해 자동화시키면 안전성 향상과 더불어 생산성을 대폭 향상할 수 있다. 따라서 본 논문은 농가 작업 현장에 최적화되고 자율주행이 가능한 농업용 로봇을 제안한다.

Keywords

Acknowledgement

본 논문은 2021년도 순천대학교 교연비 사업에 의하여 연구되었음.

References

  1. K. Kim, "The present and future of agricultural robots," Report, 2018, pp. 28-31.
  2. H. Park and S. Kim, "Agricultural robot technology trends and industry prospects," KEIT(Korea Evaluation Institute of Industrial Technology) PD Issue report 2015 VOL 15-2, 2015, pp. 36-49.
  3. J. Jeong and K. Go, "6th Industrialization of Agriculture Utilizing the Technology of 4th Industrial Revolution," Journal of Convergence for Information Technology, vol. 8, no. 5, 2018, pp. 211-217. https://doi.org/10.22156/CS4SMB.2018.8.5.211
  4. Rural Development Administration, "Agricultural and livestock products income data in 2019," Press Release, 2020.
  5. H. Ju and I. Choi, "Development of On-board Generator for Extending Working Hours of Agricultural EV Platform," J. of the The Korean Society Of Automotive Engineers, vol. 2018, no. 5, 2018, pp. 44-45.
  6. J. Kim, Y. Ju, and E. Kim, "Object Recognition Technology using LiDAR Sensor for Obstacle Detection of Agricultural Autonomous Robot," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 3, 2021, pp. 565-570. https://doi.org/10.13067/JKIECS.2021.16.3.565
  7. H. Cho and W. Kim, "Sensorless Control of High-Speed BLDC," J. of the Korea Institute of Electronic Communication Sciences, vol. 15, no. 3, 2020, pp. 503-512. https://doi.org/10.13067/JKIECS.2020.15.3.503
  8. H. Cho, D. Pack, and Y. Kim, "The Current-Position Cascade PID Control of Delta-type Parallel Robot," J. of the Korea Institute of Electronic Communication Sciences, vol. 15, no. 2, 2020, pp. 273-284. https://doi.org/10.13067/JKIECS.2020.15.2.273
  9. Y. Cui, D. Shi, Y. Zhang, and Q. Sun, "IDNet: A Single-Shot Object Detector Based on Feature Fusion," In Proc. IEEE Int. Conf. Communications, Baltimore, USA, Nov. 2020, pp. 1137-1144.
  10. Gyeonggi-do Agricultural Research & Extension Services, "2018 Test Research Report," Press Release, 2019.