DOI QR코드

DOI QR Code

Application of smartphone and wi-fi communication for remote monitoring and control of protected crop production environment

스마트폰과 Wi-Fi통신을 이용한 시설재배지 환경 원격 모니터링 및 제어

  • Hur, Seung-Oh (National Academy of Agriculture Science, Rural Development Administration) ;
  • Han, Kyeong-Hwa (National Academy of Agriculture Science, Rural Development Administration) ;
  • Jeon, Sang-Ho (National Academy of Agriculture Science, Rural Development Administration) ;
  • Jang, Yong-Sun (National Academy of Agriculture Science, Rural Development Administration) ;
  • Kang, Sin-Woo (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Chung, Sun-Ok (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Kim, Hak-Jin (Department of Biosystems Engineering, Seoul National University) ;
  • Lee, Kyeong-Hwan (Department of Rural and Bio-Systems Engineering, Chonnam National University)
  • 허승오 (농촌진흥청 국립농업과학원 토양비료관리과) ;
  • 한경화 (농촌진흥청 국립농업과학원 토양비료관리과) ;
  • 전상호 (농촌진흥청 국립농업과학원 토양비료관리과) ;
  • 장용선 (농촌진흥청 국립농업과학원 토양비료관리과) ;
  • 강신우 (충남대학교 바이오시스템기계공학과) ;
  • 정선옥 (충남대학교 바이오시스템기계공학과) ;
  • 김학진 (서울대학교 바이오시스템공학전공) ;
  • 이경환 (전남대학교 생물산업기계공학전공)
  • Received : 2011.09.28
  • Accepted : 2011.12.18
  • Published : 2011.12.31

Abstract

Protected crop production has been popular in Korea as well as in other countries. Intensive and continuous monitoring and control of the environment, which is labor- and time-consuming, is critical for stable crop productivity and profitability, otherwise damage could be happened due to unfavorable ambient and soil conditions. In the study, potential utilization of smartphone and remote access application in protected crop production environment was investigated. Tested available remote access applications provided functions of mouse click (left and right buttons), zooming in and out, and screen size and color resolution control. Wi-Fi data communication speeds were affected by signal intensity and user place. Data speeds at high (> -55 dBm), medium (-70~-56 dBm), and low (< -71 dBm) signal intensity levels were statistically different (${\alpha}=0.05$). Means of data communication speed were 6.642, 4.923, and 2.906 Mbps at hot spot, home, and office, respectively, and the differences were significant at a 0.05 level. Smart phone and remote access application were applied successfully to remote monitoring (inside temperature and humidity, and outside precipitation, temperature, and humidity) and control (window and light on/off) of green house environment. Response times for monitoring and control were less than 1 s at all places for high signal intensity (> -55 dBm), but they were increased to 1 ~ 10 s at home and office and to 10 ~ 30 s at hot spot for low signal intensity (< -71 dBm) for Wi-Fi. Results of the study would provide useful information for farmers to apply these techniques for their crop production.

Keywords

References

  1. Adams SR, Cockshull KE, Cave CRJ. 2001. Effect of temperature on the growth and development of tomato fruits. Annals of Botany 88: 869-877.
  2. Ha SE. 2010. Remote measurement of digital flow metering using handheld device. Proceedings of Information & Telecommunication Facilities Engineering Spring Conference : 40-41. [in Korean]
  3. Heo WS, Shim JH, Lee SG, Kim KW, Cho MW, Kim HT. 2002. Development of web-based control system for greenhouse teleoperation. Journal of Korean Society for Agricultural Machinery 27(4): 349-354. [in Korean]
  4. Jang SC, Ham SI, Hwang YJ, Na IM, Yoon KP, Lee YJ, Lee JK, Jung BM. 2006. RFID/USN-based cultivation monitoring system. Proceedings of Korean Institute of Industrial Engineers & Korean Academic Society of Business Administration 2006 Spring Conference 29(1): 1264-1271. [in Korean]
  5. Jeon YH, Ahn HS. 2010. Smartphone based interface for mobile robot control. Proceedings of Electronics Engineers of Korea 2010 Spring Conference 33(1): 1951-1953. [in Korean]
  6. KAMICO, KSAM. 2010. Agricultural Machinery Yearbook Republic of Korea. Korean Society for Agricultural Machinery, Seoul, Republic of Korea.
  7. Kim SC, Hwang H. 2003. Interface of tele-task operation for automated cultivation of watermelon in greenhouse. Journal of Korean Society for Agricultural Machinery 28(6): 511-516. [in Korean]
  8. Kong DG, Ryu KH, Jin JY. 2003. Development of database for environment and control information in greenhouse. Journal of Korean Society for Agricultural Machinery 28(1): 59-64. [in Korean]
  9. Lee KO, Bae YH, Oh MS, Nakaji K. 2011. Development of a web-based greenhouse monitoring system using a field server. Journal of the Faculty of Agriculture Kyushu University 56(1): 103-108.
  10. Li XH, Cheng X, Yan K, Gong P. 2010. A monitoring system for vegetable greenhouses based on a wireless sensor network. Sensors 10: 8963-8980. https://doi.org/10.3390/s101008963
  11. Lim JH, Ryu KH, Jin JY. 2003. Development of a greenhouse monitoring system using network. Journal of Korean Society for Agricultural Machinery 28(1): 53-58. [in Korean]
  12. Mahajan G, Singh KG. 2006. Response of greenhouse tomato to irrigation and fertigation. Agricultural Water Management 84: 202-206 https://doi.org/10.1016/j.agwat.2006.03.003
  13. Marcelis LFM, Heuvelink E, Baan Hofman-Eijer LR, Den Bakker J, Xue LB. 2004. Flower and fruit abortion in sweet pepper in relation to source and sink strength. Journal of Experimental Botany 55: 2261-2268. https://doi.org/10.1093/jxb/erh245
  14. Oresko JJ, Jin P, Cheng J, Huang S, Sun YW, Duschl H, Cheng AC. 2010. A wearable smartphone-based platform for realtime cardiovascular disease detection via electrocardiogram processing. IEEE Transactions on Information Technology in Biomedicine 14(3): 734-740
  15. Shim JH, Paek WJ, Park JH, Lee SG. 2004. Development and performance evaluation of a web-based management system for greenhouse teleoperation. Journal of Biosystems Engineering 29(2): 159-166. [in Korean]