Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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ICT-based Smart Farm Design

ICT 기반의 스마트팜 설계

  • Received : 2019.12.30
  • Accepted : 2020.02.20
  • Published : 2020.02.28
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Abstract

In this paper, we propose an ICT-based smart farm design. At present, the decrease in rural population is naturally inevitable due to the decrease of the total population. The economic burden on each farm grows with increasing labor costs. As a solution to this, the necessity of spreading smart farms using computing resources is emerging. The proposed system utilizes the ICT technology emerging from the Fourth Industrial Revolution. We will use big data analysis to collect a large amount of data and propose a platform for managing collected data and providing efficient services. The proposed platform consists of SOA service layer, middleware layer, resource pool layer and physical resource layer. ICT-based smart farm service can reduce costs and be easy to install and manage because ICT-based smart farm service provides only necessary functions from the user's point of view.

본 논문에 ICT 기반의 스마트 팜 설계를 제안한다. 현재 전체 인구 감소에 따라 자연적으로 농촌인구의 감소도 필연적으로 도래하고 있다. 날로 올라가는 인건비 증가에 따른 각 농가의 경제적 부담은 점점 커져간다. 이에 대한 해결책으로 컴퓨팅 자원을 활용한 스마트팜 보급의 필요성이 대두되고 있다. 제안된 시스템은 4차 산업혁명에서 떠오르고 있는 ICT 기술을 활용한다. 방대한 양의 데이터 수집을 위해 빅데이터 분석을 활용하고 수집된 자료의 관리와 효율적인 서비스 제공을 위한 플랫폼을 제안한다. 제안한 플랫폼은 SOA 서비스 레이어, 미들웨어 레이어, 리소스 풀 레이어, 물리적 리소스 레이어로 구성된다. 각 레이어가 갖고 있는 하부 구성요소를 이용하여 ICT 기반의 스마트팜 서비스는 사용자 입장에서 필요한 기능만을 서비스로 제공하기 때문에 비용을 낮출 수 있고 설치 및 관리가 용이할 것으로 여겨진다.

Keywords

References

  1. J. Ahn & H. Lee (2015). Smart farm using IoT that change the lives of rural people. Planning and Policy, 5, 19-26.
  2. B. Kim & S. Chai (2016). Policy for vitalizing greenhouse farming, Korea Rural Economic Institute, Korea.
  3. KOSIS. (2017). Crop production survey, Statistics Korea. http://kosis.kr/statHtml/statHtml.do?orgId=101&t blId=DT_1ET0027\&conn_path=I2
  4. https://terms.naver.com/entry.nhn?docId=2275655&cid=42219&categoryId=51195
  5. http://smartfarmkorea.net/
  6. K. I. Sung, B. Y. Kim, H. G. Kim, M. H. Han & K. H. Pack. (2016). Analyzing and countermeasure for smart livestock farming based on ICT. A Study on the Policy of Convergence, 2-14,
  7. K. S. Kwon. (2017). Research and Development of Livestock Farm Using ICT Integration Technology. Korean Journal of Agriculture: Power and resources, 59(2), 38-45.
  8. J. Y. Park & M. Y. Heo. (2017). Trends in International Standardization of Smart Agriculture. The Journal of The Korean Institute of Communication Sciences, 34(1), 70-75.
  9. H. S. Gu, J. H. Min & J. Y. Park (2015). Survey of ICT-Agriculture Convergence. Electronic Communication Trend Analysis, 30(2), 49-58.
  10. H. D. Park. (2018). Cloud-based smart farm system construction and service demonstration. ezfarm, Jan.
  11. G. V. Satyanarayana & S. D. Mazaruddin. (2013). Wireless Sensor Based Remote Monitoring System for Agriculture Using ZigBee and GPS. Conference on Advances in Communications and Control System
  12. R. K. Kodali, V. Jain & S. Karagwal (2016). IoT based smart greenhouse. IEEE Region 10 Humanitarian Technology Conference, pp. 1-6.
  13. L. Zheng, M. Li, C. Wu, H. Ye, R. Ji, X. Deng & W. Guo. (2011). Development of a smart mobile farming service system. Mathematical and computer modelling, 54(3), 1194-1203. https://doi.org/10.1016/j.mcm.2010.11.053
  14. S. Li, Y. Han, G. Li, M. Zhang, L. Zhang & Q. Ma. (2012). Design and implementation of agricultral greenhouse environmental monitoring system based on internet of things. Applied Mechanics and Materials, 121(126), 2624-2629.
  15. G. Li, W. Zhang, and Y. Zhang (2014). A design of the IOT gateway for agricultural greenhouse, Sensors & Transducers. 172(6):75-80.
  16. P. Nugroho, I. Andri, I. Takashi, H. Eiji, Yasumaru & M. Muneshi. (2013). Development of actuation framework for agricultural informatization supporting system, Bio-robotics, 1, 181-186.
  17. M. R. M. Kassim, I. Mat & A. N. Harun. (2014). Wireless sensor network in precision agriculture application. International Conference on Computer, Information and Telecommunication Systems (CITS). (pp. 1-5).
  18. KDOQI. (2007). KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease. Am J Kidney Dis, 49(2), Suppl 2, S12-154. DOI : 10.1053/j.ajkd.2006.12.005
  19. P. H. Marathe, H. X. Gao & K. L. Close. (2017), American Diabetes Association Standards of Medical Care in Diabetes 2017. J Diabetes, 9(4), 320-324. https://doi.org/10.1111/1753-0407.12524
  20. R. Rabkin. (2003). Diabetic nephropathy. Clin Cornerstone, 5(2), 1-11. https://doi.org/10.1016/S1098-3597(03)90014-7