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Spatial, Vertical, and Temporal Variability of Ambient Environments in Strawberry and Tomato Greenhouses in Winter

  • Ryu, Myong-Jin (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Ryu, Dong-Ki (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Chung, Sun-Ok (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Hur, Yun-Kun (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Hur, Seung-Oh (Rural Development Administration) ;
  • Hong, Soon-Jung (Rural Development Administration) ;
  • Sung, Je-Hoon (Rural Development Administration) ;
  • Kim, Hak-Hun (Chungnam Agriculture Research & Extension Services)
  • Received : 2013.11.18
  • Accepted : 2014.02.19
  • Published : 2014.03.01

Abstract

Purpose: In protected crop production facilities such as greenhouse and plant factory, farmers should be present and/or visit frequently to the production site for maintaining optimum environmental conditions and better production, which is time and labor consuming. Monitoring of environmental condition is highly important for optimum control of the conditions, and the condition is not uniform within the facility. Objectives of the paper were to investigate spatial and vertical variability in ambient environmental variables and to provide useful information for sensing and control of the environments. Methods: Experiments were conducted in a strawberry-growing greenhouse (greenhouse 1) and a cherry tomato-growing greenhouse (greenhouse 2). Selected ambient environmental variables for experiment in greenhouse 1 were air temperature and humidity, and in greenhouse 2, they were air temperature, humidity, PPFD (Photosynthetic Photon Flux Density), and $CO_2$ concentration. Results: Considerable spatial, vertical, and temporal variability of the ambient environments were observed. In greenhouse 1, overall temperature increased from 12:00 to 14:00 and increased after that, while RH increased continuously during the experiments. Differences between the maximum and minimum temperature and RH values were greater when one of the side windows were open than those when both of the windows were closed. The location and height of the maximum and minimum measurements were also different. In greenhouse 2, differences between the maximum and minimum air temperatures at noon and sunset were greater when both windows were open. The maximum PPFD were observed at a 3-m height, close to the lighting source, and $CO_2$ concentration in the crop growing regions. Conclusions: In this study, spatial, vertical, and temporal variability of ambient crop growing conditions in greenhouses was evaluated. And also the variability was affected by operation conditions such as window opening and heating. Results of the study would provide information for optimum monitoring and control of ambient greenhouse environments.

Keywords

References

  1. Adams, S. R., K. E. Cockshull and C. R. J. Cave. 2001. Effect of temperature on the growth and development of tomato fruits. Annals of Botany 88:869-877.
  2. Bojaca, C. R., R. Gil, S. Gomez, A. Cooman and E. Schrevens. 2009. Analysis of greenhouse air temperature distribution using geostatistical methods. Transactions of the ASABE 52(3):957-968. https://doi.org/10.13031/2013.27393
  3. Chang, Y. C., S. O. Chung, I. S. Han and K. M. Noh. 2011. Measurement of agricultural atmospheric factors using ubiquitous sensor network - temperature, humidity and light intensity -. Journal of Biosystems Engineering 36(2):122-129 (in Korean). https://doi.org/10.5307/JBE.2011.36.2.122
  4. He, D., Y. Bai and P. Yang. 2007. Agricultural remote monitoring systems based on web-server-embedded technology and CDMA service. New Zealand Journal of Agricultural Research 50:1393-1397. https://doi.org/10.1080/00288230709510427
  5. Hirama, N., H. Mizusawa, F. Azuhata and S. Matsuura. 2006. Effects of forenoon temperatures in ventilated greenhouse on the growth of forced and fall-cropped cucumber cultivars. Journal of the Japanese Society for Horticultural Science 75(4):331-333. https://doi.org/10.2503/jjshs.75.331
  6. Hwang, J., C. Shin and H. Yoe. 2010. A wireless sensor network-based ubiquitous paprika growth management system. Sensors 10:11566-11589. https://doi.org/10.3390/s101211566
  7. Kim, W. H and J. S. Kim. 2002. Sensor engineering for automation. Seoul, Republic of Korea: Sungandang.
  8. Klaring, H. P., C. Hauschild, A. Beibner and B. B. Yosef. 2007. Model-based control of CO2 concentration in greenhouses at ambient levels increases cucumber yield. Agricultural and Forest Meteorology 143:208-216. https://doi.org/10.1016/j.agrformet.2006.12.002
  9. Kwong, J. K., S. H. Lee, J. H. Seong, J. P. Moon, S. J. Lee, B. M. Choi and K. J. Kim. 2011. Analysis of natural ventilation characteristics of venlo-type greenhouse with continuous roof vents. Journal of Biosystems Engineering 36(6): 444-452 (in Korean). https://doi.org/10.5307/JBE.2011.36.6.444
  10. Li, S and D. H. Willits. Modeling thermal stratification in fan-ventilated greenhouses. 2008. Transactions of the ASABE 51(5):1735-1746. https://doi.org/10.13031/2013.25307
  11. MFAFF. 2012. Food, Agriculture, Forestry and Fisheries Statistical Yearbook. Ministry for Food, Agriculture, Forestry and Fisheries, Gwacheon, Korea.
  12. Mortensen, L. M and H. R. Gislerod. 2005. Effect of air humidity variation on powdery mildew and keeping quality of cut roses. Scientia Horticulturae 104:49-55. https://doi.org/10.1016/j.scienta.2004.08.002
  13. Soni, P., V. M. Salokhe and H. J. Tantau. 2005. Effect of screen mesh size on vertical temperature distribution in naturally ventilated tropical greenhouses. Biosystems Engineering 92(4):469-482. https://doi.org/10.1016/j.biosystemseng.2005.08.005
  14. Tadj, N., T. Bartzanas, D. Fidaros, B. Draoui and C. Kittas. 2010. Influence of heating system on greenhouse microclimate distribution. Transactions of the ASABE 53(1):225-238. https://doi.org/10.13031/2013.29498
  15. Zhao, Y., M. Teitel and M. Barak. 2001. Vertical temperature and humidity gradients in a naturally ventilated greenhouse. Journal of Agricultural Engineering Research 78(4):431-436. https://doi.org/10.1006/jaer.2000.0649

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