한국전기전자재료학회논문지 (Journal of the Korean Institute of Electrical and Electronic Material Engineers)

  • 제35권5호
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  • Pages.459-465
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  • 2022
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  • 1226-7945(pISSN)
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  • 2288-3258(eISSN)
한국전기전자재료학회 (The Korean Institute of Electrical and Electronic Material Engineers)
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IoT를 사용한 센서 네트워크 기반의 실시간 토양 습도 모니터링

Real-Time Soil Humidity Monitoring Based on Sensor Network Using IoT

  • 김경헌 (경상국립대학교 융합전자공학부) ;
  • 김희동 (세종대학교 전자정보통신공학과 및 지능형드론융합전공)
  • Kim, Kyeong Heon (Department of Convergence Electronic Engineering, Gyeongsang National University) ;
  • Kim, Hee-Dong (Department of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University)
  • 투고 : 2022.02.22
  • 심사 : 2022.05.26
  • 발행 : 2022.09.01
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초록

This paper reports a method to use a wireless sensor network deployed in the field to real-time monitor soil moisture, warning when the moisture level reaches a specific value, and wirelessly controlling an additional device (LED or water supply system, etc.). In addition, we report all processes related to wireless irrigation system, including field deployment of sensors, real-time monitoring using a smartphone, data calibration, and control of additional devices deployed in the field by smartphone. A commercially available open-source Internet of Things (IoT) platform, NodeMCU, was used, which was combined with a 9V battery, LED and soil humidity sensor to be integrated into a portable prototype. The IoT-based soil humidity sensor prototype deployed in the field was installed next to a tree for on-site demonstration for the measurement of soil humidity in real-time for about 30 hours, and the measured data was successfully transmitted to a smartphone via Wifi. The measurement data were automatically transmitted via e-mail in the form of a text file, stored on the web, followed by analyses and calibrations. The user can check the humidity of the soil real-time through a personal smartphone. When the humidity of a soil reached a specific value, an additional device, an LED device, placed in the field was successfully controlled through the smartphone. This LED can be easily replaced by other electronic devices such as water supplies, which can also be controlled by smartphones. These results show that farmers can not only monitor the condition of the field real-time through a sensor monitoring system manufactured simply at a low cost but also control additional devices such as irrigation facilities from a distance, thereby reducing unnecessary energy consumption and helping improve agricultural productivity.

키워드

과제정보

이 연구는 교육부 지원 한국연구재단(NRF)을 통한 기초과학연구사업의 지원을 받았습니다(No. NRF-2022R1F1A1060655).

참고문헌

  1. S. Darshna, T. Sangavi, S. Mohan, A. Soundharya, and S. Desikan, IOSR-JECE, 10, 32 (2015).
  2. P. Singh and S. Saikia, Proc. 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (IEEE, Agra, India, 2016) pp. 1-4. [DOI: https://doi.org/10.1109/R10-HTC. 2016.7906792]
  3. P. Padalalu, S. Mahajan, K. Dabir, S. Mitkarand, and D. Javale, Proc. 2017 2nd International Conference for Convergence in Technology (I2CT) (IEEE, Mumbai, India, 2017) pp. 659-662. [DOI: https://doi.org/10.1109/I2CT.2017.8226212]
  4. J. Shenoy and Y. Pingle, Proc. 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (IEEE, New Delhi, India, 2016) pp. 1456-1458.
  5. V. H. Andaluz, A. Y. Tovar, K. D. Bedon, J. S. Ortiz, and E. Pruna, Proc. 2016 IEEE International Conference on Automatica (ICA-ACCA) (IEEE, Curico, Chile, 2016) pp. 1-6. [DOI: https://doi.org/10.1109/ICA-ACCA.2016.7778389]
  6. K. Lekjaroen, R. Ponganantayotin, A. Charoenrat, S. Funilkul, U. Supasitthimethee, and T. Triyason, Proc. 2016 International Computer Science and Engineering Conference (ICSEC) (IEEE, Chiang Mai, Thailand, 2016) pp. 1-6, [DOI: https://doi.org/10.1109/ICSEC.2016.7859873]
  7. P. Srivastava, M. Bajaj and A. S. Rana, Proc. 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB) (IEEE, Chennai, India, 2018) pp. 1-5, [DOI: https://doi.org/10.1109/AEEICB.2018.8480949]
  8. G. Parameswaran and K. Sivaprasath, IJESC, 6, 5518 (2016).
  9. C. Kamienski, J. P. Soininen, M. Taumberger, R. Dantas, A. Toscano, T. S. Cinotti, R. F. Maia, and A. T. Neto, Sensors, 19, 276 (2019). [DOI: https://doi.org/10.3390/s19020276]
  10. R. K. Kodali, B. S. Sarjerao, Proc. 2017 IEEE Region 10 Symposium (TENSYMP) (IEEE, Cochin, India, 2017) pp. 1-5. [DOI: https://doi.org/10.1109/TENCONSpring.2017.8070095]
  11. NodeMcu, http://www.nodemcu.com/
  12. Blynk, https://blynk.io/