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Control and Monitoring of Greenhouse System with Matlab GUI

Year 2019, Volume: 11 Issue: 3, 126 - 136, 30.12.2019

Abstract

One of
the most effective solutions is to produce the obtained product all year round
not only in spring and summer seasons which are suitable for producing the
plant. Furthermore, conventional closed greenhouses are converted into
high-tech plant production units in as much as micro controllers, smart sensors
and wireless technology equipment have become cheaper and easily available in
recent years. To this end, a low-cost greenhouse automation system which can be
monitored in computer environment by virtue of an interface created in Matlab
GUI programming language is proposed in the study. Temperature, air relative
humidity and soil moisture levels were measured continuously as input and
control of heating, ventilation, drip irrigation, humidification, and lighting
system was conducted the way of on-off in the proposed system. Furthermore,
input sizes were monitored graphically and numerically on the interface and
output systems were monitored instantly to observe if they operated or not.
Required conditions in the greenhouse for pepper and eggplant as vegetables and
strawberry as fruit was provided and data for 24 hours were provided. The
obtained numerical and visual application result revealed the fact that the
applied system is more advantageous compared to conventional control systems in
terms of ease of use, price, monitoring and simultaneous recording.

References

  • Akkaş, M. A. and Sokullu, R. (2017). An IoT-based greenhouse monitoring system with Micaz motes, Procedia Computer Science, 113, 603-608.
  • Arı, Y. S. (2011). Birden fazla seranın, plc ve scada yazılımı ile kontrolü ve internet üzerinden izlenmesi, Yüksek Lisans Tezi, Marmara Üniversitesi Fen Bilimleri Enstitüsü Mekatronik Anabilim Dalı, İstanbul.
  • Başak M., (2009). Santral Atık Isılarıyla Seraların Isıtılması, Yüksek Lisans Tezi, Yıldız Teknik Universitesi, İstanbul.
  • Ciğer M., (2010). Bilgisayar kontrollü, internet destekli sera ‎otomasyonu, MSc, Cukurova University, Adana, Turkey.
  • ‎Dupont D. L., (1989). U.S. Patent No. 4,815,365. Washington, DC: U.S. ‎Patent and Trademark Office. ‎
  • Inan, S. A. (2002). Meyve Fidanı Çoğaltılmasında Kullanılan Köklendirme Seralarının Otomasyonu. Yüksek Lisans Tezi, SD Ü. Fen Bilimleri Enst., Bahçe Bitkileri AD, Isparta.
  • Hocagil, M. M. and Öztürk, H. H. (2003). Seralarda sıcaklık ve bağıl nem kontrolü üzerine bir araştırma. Tarım Makinaları Bilimi Dergisi, 1(3).
  • http://www.arduino.cc, Ardunio Official Site [Internet Resource], ‎‎[Access Date: 30.03.2018].
  • http://sapancasulamasistemleri.blogspot.com.tr. [Çevrimiçi] Sapanca Sulama Sistemleri. [Alıntı Tarihi: 20 04 2018.]
  • http://www.tansun. com. Tansun Limited Spectrum House Unit 1 Ridgacre Road West Bromwich West MidlandsB71 1BWUK. [Access Date: 20 04 2018].
  • http://www.tarimkutuphanesi.com. [Çevrimiçi] [Alıntı Tarihi: 20 04 2018].
  • Jain, D. (2005). Modeling the performance of greenhouse with packed bed thermal storage on crop drying application, Journal of Food Engineering, 71(2), 170-178.
  • Mahlein, A. K., Rumpf, T., Welke, P., Dehne, H. W., Plümer, L., Steiner, U., & Oerke, E. C. (2013). Development of spectral indices for detecting and identifying plant diseases, Remote Sensing of Environment, 128, 21-30.
  • Markom, M. A., Shakaff, A. M., Adom, A. H., Ahmad, M. N., Hidayat, W., Abdullah, A. H., & Fikri, N. A. (2009). Intelligent electronic nose system for basal stem rot disease detection, Computers and Electronics in Agriculture, 66(2), 140-146.
  • Patil, J. K., & Kumar, R. (2011). Advances in image processing for detection of plant diseases, Journal of Advanced Bioinformatics Applications and Research, 2(2), 135-141.
  • Rodríguez, S., Gualotuña, T., & Grilo, C. (2017). A System for the Monitoring and Predicting of Data in Precision Agriculture in a Rose Greenhouse Based on Wireless Sensor Networks, Procedia Computer Science, 121, 306-313.
  • Seginer, I. and Zlochin, I. (1997). Night-time greenhouse humidity control with a cooled wetness sensor, Agricultural and forest meteorology, 85(3-4), 269-277.
  • Şevik, S., Aktaş, M., Doğan, H., & Yılmaz, A. (2014). Küçük Ölçekli Sera Tipi Bir Kurutucuda Kırmızı Biber Kurutulmasının Termoekonomik Analizi, Politeknik Dergisi, 17(4), 143-152.
  • T. Haigh, "Cleve Moler: Mathematical software pioneer and creator ‎of Matlab, IEEE Annals of the History of Computing, 30(1), 87-91, ‎‎2008. ‎
  • Teitel, M. and Tanny, J. (1999). Natural ventilation of greenhouses: experiments and model, Agricultural and Forest Meteorology, 96(1-3), 59-70.
  • The MathWorks, (2002). Inc., Creating graphical user inter-faces, The ‎MathWorks, Nantick, MA‎.
  • Ting, K. C., Lin, T., & Davidson, P. C. (2016). Integrated Urban Controlled Environment Agriculture Systems, In LED Lighting for Urban Agriculture (pp. 19-36). Springer, Singapore.
  • Udink ten Cate, A. J., Bot, G. P. A., & Van Dixhoorn, J. J. (1978). Computer control of greenhouse climates, In Symposium on Potential Productivity in Protected Cultivation 87 (pp. 265-272).
  • Van den Muijzenberg, E. W. (1980). A history of greenhouses, Institute of Agricultural Engineering, Netherlands.
  • Zhang, Y., Yong, C., Wu, Z., Hua, J., Liu, J., Hu, J., & Yao, L. (2017). A Study on the Operating Model of Internet+ QQ Farm, Asian Agricultural Research, 9(6), 11.

Control and Monitoring of Greenhouse System with Matlab GUI

Year 2019, Volume: 11 Issue: 3, 126 - 136, 30.12.2019

Abstract

One of
the most effective solutions is to produce the obtained product all year round
not only in spring and summer seasons which are suitable for producing the
plant. Furthermore, conventional closed greenhouses are converted into
high-tech plant production units in as much as micro controllers, smart sensors
and wireless technology equipment have become cheaper and easily available in
recent years. To this end, a low-cost greenhouse automation system which can be
monitored in computer environment by virtue of an interface created in Matlab
GUI programming language is proposed in the study. Temperature, air relative
humidity and soil moisture levels were measured continuously as input and
control of heating, ventilation, drip irrigation, humidification, and lighting
system was conducted the way of on-off in the proposed system. Furthermore,
input sizes were monitored graphically and numerically on the interface and
output systems were monitored instantly to observe if they operated or not.
Required conditions in the greenhouse for pepper and eggplant as vegetables and
strawberry as fruit was provided and data for 24 hours were provided. The
obtained numerical and visual application result revealed the fact that the
applied system is more advantageous compared to conventional control systems in
terms of ease of use, price, monitoring and simultaneous recording.

References

  • Akkaş, M. A. and Sokullu, R. (2017). An IoT-based greenhouse monitoring system with Micaz motes, Procedia Computer Science, 113, 603-608.
  • Arı, Y. S. (2011). Birden fazla seranın, plc ve scada yazılımı ile kontrolü ve internet üzerinden izlenmesi, Yüksek Lisans Tezi, Marmara Üniversitesi Fen Bilimleri Enstitüsü Mekatronik Anabilim Dalı, İstanbul.
  • Başak M., (2009). Santral Atık Isılarıyla Seraların Isıtılması, Yüksek Lisans Tezi, Yıldız Teknik Universitesi, İstanbul.
  • Ciğer M., (2010). Bilgisayar kontrollü, internet destekli sera ‎otomasyonu, MSc, Cukurova University, Adana, Turkey.
  • ‎Dupont D. L., (1989). U.S. Patent No. 4,815,365. Washington, DC: U.S. ‎Patent and Trademark Office. ‎
  • Inan, S. A. (2002). Meyve Fidanı Çoğaltılmasında Kullanılan Köklendirme Seralarının Otomasyonu. Yüksek Lisans Tezi, SD Ü. Fen Bilimleri Enst., Bahçe Bitkileri AD, Isparta.
  • Hocagil, M. M. and Öztürk, H. H. (2003). Seralarda sıcaklık ve bağıl nem kontrolü üzerine bir araştırma. Tarım Makinaları Bilimi Dergisi, 1(3).
  • http://www.arduino.cc, Ardunio Official Site [Internet Resource], ‎‎[Access Date: 30.03.2018].
  • http://sapancasulamasistemleri.blogspot.com.tr. [Çevrimiçi] Sapanca Sulama Sistemleri. [Alıntı Tarihi: 20 04 2018.]
  • http://www.tansun. com. Tansun Limited Spectrum House Unit 1 Ridgacre Road West Bromwich West MidlandsB71 1BWUK. [Access Date: 20 04 2018].
  • http://www.tarimkutuphanesi.com. [Çevrimiçi] [Alıntı Tarihi: 20 04 2018].
  • Jain, D. (2005). Modeling the performance of greenhouse with packed bed thermal storage on crop drying application, Journal of Food Engineering, 71(2), 170-178.
  • Mahlein, A. K., Rumpf, T., Welke, P., Dehne, H. W., Plümer, L., Steiner, U., & Oerke, E. C. (2013). Development of spectral indices for detecting and identifying plant diseases, Remote Sensing of Environment, 128, 21-30.
  • Markom, M. A., Shakaff, A. M., Adom, A. H., Ahmad, M. N., Hidayat, W., Abdullah, A. H., & Fikri, N. A. (2009). Intelligent electronic nose system for basal stem rot disease detection, Computers and Electronics in Agriculture, 66(2), 140-146.
  • Patil, J. K., & Kumar, R. (2011). Advances in image processing for detection of plant diseases, Journal of Advanced Bioinformatics Applications and Research, 2(2), 135-141.
  • Rodríguez, S., Gualotuña, T., & Grilo, C. (2017). A System for the Monitoring and Predicting of Data in Precision Agriculture in a Rose Greenhouse Based on Wireless Sensor Networks, Procedia Computer Science, 121, 306-313.
  • Seginer, I. and Zlochin, I. (1997). Night-time greenhouse humidity control with a cooled wetness sensor, Agricultural and forest meteorology, 85(3-4), 269-277.
  • Şevik, S., Aktaş, M., Doğan, H., & Yılmaz, A. (2014). Küçük Ölçekli Sera Tipi Bir Kurutucuda Kırmızı Biber Kurutulmasının Termoekonomik Analizi, Politeknik Dergisi, 17(4), 143-152.
  • T. Haigh, "Cleve Moler: Mathematical software pioneer and creator ‎of Matlab, IEEE Annals of the History of Computing, 30(1), 87-91, ‎‎2008. ‎
  • Teitel, M. and Tanny, J. (1999). Natural ventilation of greenhouses: experiments and model, Agricultural and Forest Meteorology, 96(1-3), 59-70.
  • The MathWorks, (2002). Inc., Creating graphical user inter-faces, The ‎MathWorks, Nantick, MA‎.
  • Ting, K. C., Lin, T., & Davidson, P. C. (2016). Integrated Urban Controlled Environment Agriculture Systems, In LED Lighting for Urban Agriculture (pp. 19-36). Springer, Singapore.
  • Udink ten Cate, A. J., Bot, G. P. A., & Van Dixhoorn, J. J. (1978). Computer control of greenhouse climates, In Symposium on Potential Productivity in Protected Cultivation 87 (pp. 265-272).
  • Van den Muijzenberg, E. W. (1980). A history of greenhouses, Institute of Agricultural Engineering, Netherlands.
  • Zhang, Y., Yong, C., Wu, Z., Hua, J., Liu, J., Hu, J., & Yao, L. (2017). A Study on the Operating Model of Internet+ QQ Farm, Asian Agricultural Research, 9(6), 11.
There are 25 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Articles
Authors

Ferzan Katırcıoğlu

Publication Date December 30, 2019
Published in Issue Year 2019 Volume: 11 Issue: 3

Cite

IEEE F. Katırcıoğlu, “Control and Monitoring of Greenhouse System with Matlab GUI”, IJTS, vol. 11, no. 3, pp. 126–136, 2019.

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