Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
권호 표지
DOI QR코드

DOI QR Code

Development of a Data Acquisition System for the Long-term Monitoring of Plum (Japanese apricot) Farm Environment and Soil

  • Akhter, Tangina (Department of Industrial Machinery Engineering, Sunchon National University) ;
  • Ali, Mohammod (Department of Industrial Machinery Engineering, Sunchon National University) ;
  • Cha, Jaeyoon (Department of Food Science and Nutrition, Dong-A-University) ;
  • Park, Seong-Jin (Department of Industrial Machinery Engineering, Sunchon National University) ;
  • Jang, Gyeang (Department of Industrial Machinery Engineering, Sunchon National University) ;
  • Yang, Kyu-Won (Major in Bio-Industrial Machinery Engineering, Kyungpook National University) ;
  • Kim, Hyuck-Joo (Department of Industrial Machinery Engineering, Sunchon National University)
  • Received : 2018.10.06
  • Accepted : 2018.11.22
  • Published : 2018.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: To continuously monitor soil and climatic properties, a data acquisition system (DAQ) was developed and tested in plum farms (Gyewol-ri and Haechang-ri, Suncheon, Korea). Methods: The DAQ consisted of a Raspberry-Pi processor, a modem, and an ADC board with multiple sensors (soil moisture content (SEN0193), soil temperature (DS18B20), climatic temperature and humidity (DHT22), and rainfall gauge (TR-525M)). In the laboratory, various tests were conducted to calibrate SEN0193 at different soil moistures, soil temperatures, depths, and bulk densities. For performance comparison of the SEN0193 sensor, two commercial moisture sensors (SMS-BTA and WT-1000B) were tested in the field. The collected field data in Raspberry-Pi were transmitted and stored on a web server database through a commercial communications wireless network. Results: In laboratory tests, it was found that the SEN0193 sensor voltage reading increased significantly with an increase in soil bulk density. A linear calibration equation was developed between voltage and soil moisture content depending on the farm soil bulk density. In field tests, the SEN0193 sensor showed linearity (R = 0.76 and 0.73) between output voltage and moisture content; however, the other two sensors showed no linearity, indicating that site-specific calibration is important for accurate sensing. In the long-term monitoring results, it was observed that the measured climate temperature was almost the same as website information. Soil temperature information was higher than the values measured by DS18B20 during spring and summer. However, the local rainfall measured using TR 525M was significantly different from the values on the website. Conclusion: Based on the test results obtained using the developed monitoring system, it is thought that the measurement of various parameters using one device would be helpful in monitoring plum growth. Field data from the local farm monitoring system can be coupled with website information from the weather station and used more efficiently.

Keywords

References

  1. Ali, M., S.-J. Park, T. Akhter, G.-S. Kim, K. Yang, H. Seonwoo and H.-J. Kim. 2017. Development of a plum (Japanese apricot) seed remover for multipurpose plum flesh processing. Journal of Biosystems Engineering 42(4): 283-292. https://doi.org/10.5307/JBE.2017.42.4.283
  2. Bogena, H. R., J. A. Huisman, C. Oberdörster and H. Vereecken. 2007. Evaluation of a low-cost soil water content sensor for wireless network applications. Journal of Hydrology 344(1-2): 32-42. https://doi.org/10.1016/j.jhydrol.2007.06.032
  3. Campbell, C.S. 2001. Response of $ECH_2O$ soil moisture sensor to temperature variation. Decagon Devices Inc. Onset computer corporation. Application Note AN70TP-10. Decagon devices Inc., Pullman, Wash.
  4. Day, K., G. Lopez and T. DeJong. 2008. Using growing degree hours accumulated thirty days after bloom to predict peach and nectarine harvest. Acta Horticulture 803:163-166. http://doi.org/10.17660/ActaHortic.2008.803.20
  5. Ferdoush, S. and X. Li. 2014. Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications. Procedia Computer Science 34: 103-110. https://doi.org/10.1016/j.procs.2014.07.059
  6. Gong, Y., Q. Cao and Z. Sun. 2003. The effects of soil bulk density, clay content and temperature on soil water content measurement using time-domain reflectometry. Hydrological Process 17(18):3601-3614. https://doi.org/10.1002/hyp.1358
  7. Hignett, C. and S. Evett. 2008. Field Estimation of Soil Water Content: A Practical Guide to Methods, Instrumentation, and Sensor Technology. IAEA-TCS-30. International Atomic Energy Agency, Vienna, Austria: International Atomic Energy Agency
  8. Intrigliolo, D . S. and J . R. Castel. 2 0 06. Performance o f various water stress indicators for prediction of fruit size response to deficit irrigation in plum. Agricultural Water Management 83(1-2):173-180. http://doi.org/10.1016/j.agwat.2005.12.005
  9. KMA. 2018. Current Weather by City: 2017-2018. Korea Meteorological Administration. Seoul, Republic of Korea. Available at: http://www.kma.go.kr/weather/observation/currentweather.jsp (2017.09.08 to 2018.08.31)
  10. KOSIS. 2018. Cultivation Area-2018. Korean Statistical Information Service. Daejeon, Republic of Korea. Available at: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1ET0014&vw_cd=MT_ZTITLE&list_id=F1G&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE. (2018. 10. 29)
  11. Lee, K.-B., Y.-I. Seo and S.-W. Mo. 2011. How to activate the Prunus mune (Masesil) in Gwangyang region. Journal of Industrial Economics and Business 24(5): 2609-2623(In Korean).
  12. Li, Z., N. Wang, A. Franzen, P. Taher, C. Godsey, H. Zhang and X. Li. 2014. Practical deployment of an in-field soil property wireless sensor network. Computer Standards & Interfaces 36(2): 278-287. https://doi.org/10.1016/j.csi.2011.05.003
  13. Poerwanto, R., H. Inque, Y. Ikoma and I. Kataoka. 1989. Effects of air and soil temperature on vegetative growth and flower bud differentiation of satsuma mandarin trees. Journal of Japanese Society of Horticultural Science 58(2): 275-281. https://doi.org/10.2503/jjshs.58.275
  14. Shi, J., J. Gong, J. Liu, X. Wu and Y. Zhang. 2009 Antioxidant capacity of extract from edible flowers of Prunus mune in china and its active components. LWT - Food Science and Technology 42(2):477-482 https://doi.org/10.1016/j.lwt.2008.09.008
  15. Varble, J. L. and J. L. Chavez. 2011. Performance evaluation and calibration of soil water content and potential sensors for agricultural soils in eastern Colorado. Agricultural Water Management 101(1):93-106. https://doi.org/10.1016/j.agwat.2011.09.007
  16. Warrington, I. J., T. A. Fulton, E. A. Halligan and H. N. de Silva. 1999. Apple fruit growth and maturity are affected by early season temperatures. Journal of the American Society for Horticultural Science 124(5): 468-477. https://doi.org/10.21273/JASHS.124.5.468
  17. RDA. 2013. Plum and Plum. 11-1390000-003302-01. http://203.241.55.164/ezpdf/customLayoutNew3.jsp?contentId=2F2F493A2F2F646C5F696D6167652F494D472F32392F2F3030303030303134313238372F534552564943452F3030303030303134313238375F30312E50444P Jeonju-Si, Jeollabuk-Do. Republic of Korea: Rural Development Administration.