Journal of Korean Society of Rural Planning (농촌계획)

Korean Society of Rural Planning (한국농촌계획학회)
권호 표지
DOI QR코드

DOI QR Code

Development and Application of Arduino Based Multi-sensors System for Agricultural Environmental Information Collection - A Case of Hog Farm in Yeoju, Gyeonggi -

농업환경정보 수집을 위한 아두이노 기반 멀티 센서 시스템 개발 및 적용 - 경기 여주시 소재 양돈농가를 사례로 -

  • Han, Jung-Heon (Industrial-Academy Cooperation Foundation, Jeju National University) ;
  • Park, Jong-Jun (Dept. of Tourism Development, Jeju National University)
  • 한정헌 (제주대학교 산학협력단) ;
  • 박종준 (제주대학교 관광개발학과)
  • Received : 2019.01.14
  • Accepted : 2019.03.18
  • Published : 2019.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

The agricultural environment is changing and becoming more advanced due to the influence of the 4th Industrial Revolution. From the basic plan of Rural Informatics to the current level of 2nd generation smart farms aimed at improving productivity using Big data, cloud network and more IoT technology. We are continuing to provide support and research and development. However, many problems remain to be solved in order to supply and settle smart farms in Korea. The purpose of this study is to provide a method of collecting and sharing data on farming environment and to help improve the income and productivity of farmers based on collected data. In the case of hog farm, the multiple sensors for environmental data like temperature, humidity and gases and the network environment for connecting the internet were established. The environment sensor was made using the ESP8266 Node MCU board as micro-controller, DHT22 sensor for temperature and humidity, and MQ series sensors for various gases in the hog pens. The network sensor was applied experimentally for one month and the environmental data of the hog farm was stored on a web database. This study is expected to raise the importance of collecting and managing the agricultural and environmental data, for the next generation farmers to understand the smart farm more easily and to try it by themselves.

Keywords

References

  1. Caria, M., Schudrowitz, J. Jukan, A. and Kemper, N., 2017. Smart Farm Computing Systems for Animal Welfare Monitoring. 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO): 152-157. DOI: 10.23919/ MIPRO.2017.7973408.
  2. Culibrina, F.B. and Dadios, E.P., 2015. Smart farm using wireless sensor network for data acquisition and power control distribution. International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management(HNICEM). Cebu City, Philippines. DOI: 10.1109/HNICEM.2015.7393215.
  3. Jindarat, S. and Wuttidittachotti, P., 2015. Smart Farm Monitoring Using Raspberry Pi and Arduino, 2015 International Conference on Computer, Communica tions, and Control Technology (I4CT): 284-288. DOI: 10.1109/I4CT.2015.7219582.
  4. Mahale, R.B and Sonavane, S.S., 2016. Smart Poultry Farm: An Integrated Solution Using WSN and GPRS Based Network. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 5(6): 1984-1988.
  5. Memon, M. H., Kumar, W., Memon A., Chowdhry, B.S., Aamir, M. and Kumar. P., 2016. Internet of Things (IoT) Enabled Smart Animal Farm. 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom): 2067-2072.
  6. Gong, D, H,. 2017. A Study on Open Source Hardware Performanc for IoT Devices. ph.D. thesis, Hansei University, Gunpo, Republic of Korea
  7. Jung, C, S,. 2019. A Study on the Application of IoT using LoRa. Master's theis, Hansei University, Gunpo, Republic of Korea
  8. Kim, G, J. and Huh, J. D., 2015. Trends and Prospects of Smart Farm Technology. Electronics and Telecommunications Trends: 30(5):
  9. Kim, S., Lee, S., Lee, G. and Im, K., 2014. An Intelligent Ventilation System in an Enclosed Nursery Pig House. Proceeding of the Korean Society of Computer Information Conference 22(2). 429-430.
  10. Kim, Y., Park, J. and Park, Y., 2016. Analysis of Smart Farm Status and Success Factors. Korea Rural Economic Institute 2016.6 M141.
  11. Korea Statistics, 2018. Available at: http://www.kostat .go.kr.
  12. Lee, E., Lee, K., Kim, H. and Kang, B., 2010. Development of Agriculture Environment Monitoring System Using Integrated Sensor Module. Journal of the Korea Contents Association. 10(2): 63-71. https://doi.org/10.5392/JKCA.2010.10.2.063
  13. Lee, J., Hwang, J. and Yeo, H., 2014. Agriculture ICT Convergence Technology Trend and Direction of Development. The Journal of the Korean Institute of Communication Sciences, 31(5): 54-60.
  14. Lee, J. H., Hong, Y. S., Kang, T. W., Lee, M. K., Lim, S. C., Oh, S. M. and Park, S. H., 2016. Smart Farm System Based on Arduino Sensor. Proceedings of the Korean Society of Computer Information Conference 22(2): 461-462
  15. Lee, S., 2016. Cloud-based Smart Farm Technology. The Journal of the Korean Institute of Communication Sciences. 34(1): 51-57.
  16. Park, C., Ko, M., Kim, D. and Bae, J., 2009. Real-time Monitoring Application of Pig farm Environment Based on Map. Proceeding of Korea Academy Industrial Cooperation Society Conference. 2009. 5: 813-816.
  17. Park, H. Jeong, S. and Yeo, H., 2013. A Study on the Pig breeding management system based MVC framework. Proceedings of Symposium of the Korean Institute of communications and Information Sciences, 2013.11: 157-158.
  18. Rye, D. H., 2013. A Development of Urban Farm Management System based on USN. The Journal of the Korea institute of electronic communication sciences, 8(12): 1917-1922. https://doi.org/10.13067/JKIECS.2013.8.11.1917
  19. Ryu, K. H., 2001. Development of a Remote Environment Monitoring System for State of the Art Greenhouse. Annual Report of Research in Agriculture and Life Sciences, 5: 77-81.
  20. Seo. Y. J., 2016. Current Status and Future Tasks of Korean Smart Agriculture. World Agriculture, 185: 1-21.
  21. Yeon, I. and Lee, W., 2016. An IoT Platform Technique for Monitoring and Controling the Growth Environment of a Smart Farm. Proceedings of Symposium of the Korea Institute Of Communications and Information Sciences: 995-996.
  22. Yun, D. Y., Song, J. and Lee, S. M., 2014. Studying for Agriculture Informationization using Big Data. Proceedings of the Korean Society of Computer Information Conference, 22(2): 461-462.
  23. Yeoju-si, [Website]. (2019. Jan 2). http://www.yeoju.go.kr/cms/content/view/527
  24. mushn.modoo[Website]. (2018. Nov 21). https://goob.blog.me/221424147234
  25. Happybug[Website]. (2018. Nov 26). https://ukj5647.blog.me/221409687014
  26. Arduino[Website]. (2018. Dec 28). https://https://www.arduino.cc
  27. Smartfarmkorea[website]. (2019 Jan 13). https://www.smartfarmkorea.net/company/list.do.
  28. Korea Statistics, 2018. Available at: http://www.kostat.go.kr.