AUTOMATIC CONTROL SYSTEM FOR ORGANIC GREENHOUSE

Authors

  • Tanayos Arisariyawong Department of Mechanical Engineering, Faculty of Engineering, Srinakharinwirot University.
  • Posin Chantanamatta Department of Mechanical Engineering, Faculty of Engineering, Srinakharinwirot University.
  • Tanakorn Wongamrest Department of Mechanical Engineering, Faculty of Engineering, Srinakharinwirot University.
  • Chatchawan Karawan Department of Mechanical Engineering, Faculty of Engineering, Srinakharinwirot University.

Keywords:

Organic greenhouse, , Internet of things, Automatic control

Abstract

          Nowadays, organic farming in greenhouses is widely popular because it can prevent disease or pests, and can also be adjusted to suit the environmental requirement so that the production quality and quantity are obtained. Environmental control in the greenhouse is mostly done by human decision making, causing many errors and time lags. This paper presents the development of automatic control system for organic greenhouse for controlling and monitoring to make suitable greenhouses environment in all time and from distance, by using internet of things (IoT) technology and wireless communication (WiFi). The developed automatic control system is divided into timer control and conditional automatic control. From the experimental results shown that timer control can work correctly, conditional automatic control can control the internal greenhouse temperature as needed with the root mean squared (RMS) error equal to 1.13 degrees Celsius. 

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References

H.C. Park, Y.K. Eo, S.B. Ko, W.S. Chang, D.M. Jeong. (1996). A Study on a H/W Simulation for Development of Complex Environmental Control System for Greenhouse. In Conference papers. pp. 1099-1102. The Institute of Electronics Engineers of Korea.

Seung-Woo Kim. (2004). Implementation of an Automation System Using Fuzzy Expertized Control Algorithm for the Cultivation in a Greenhouse. In Conference papers. pp. 67-77. Korea Association of Computer Education.

Zheng Kefeng, Zhu Lili, Hu Weiqun, et al. (2005). Introduction on technology for digital agriculture. Acta Agriculture Zhejiang Gensis, 3, 170-176.

T. Arisariyawong. (2015). A Wireless Sensor Network Prototype for Environmental Monitoring in Greenhouses. In The 16th TSAE National Conference. pp. 465-469. Bangkok.

M. Mahdavian, & N. Wattanapongsakorn. (2013). PID controller tuning and optimizing for greenhouse lighting application considering real-time pricing in the smart grid. In International Computer Science and Engineering Conference (ICSEC). pp. 85-90. Nakorn Pathom.

T. Namhormchan, & A. Sareephattananon. (2014). PLC-Based Automatic Control System of Temperature and Relative Humidity in Soilless Culture Greenhouse with an Evaporative Cooling System and Fogging System. EAU Heritage Journal Science and Technology, 8(1), 98-111.

M. Berenguel, L. J. Yebra, & F. Rodríguez. (2003). Adaptive control strategies for greenhouse temperature control. In European Control Conference (ECC). pp. 2747-2752. Cambridge.

L. Dan, C. Xin, H. Chongwei, & J. Liangliang. (2015). Intelligent Agriculture Greenhouse Environment Monitoring System Based on IOT Technology. In International Conference on Intelligent Transportation, Big Data and Smart City. pp. 487-490. Halong Bay.

Zheng Qiang, Peng Lin, Zou Qiuxia, Gao Lutao. (2013). The Design of Remote Greenhouse Monitoring System Based on the Embedded Web Server. Agricultural Mechanization Research, 11(11), 84-87.

L. Jia, X.Y. Wang, S.J. Zheng. (2007). Theory and Practice of the IOT and Wireless Sensor Networks. Beijing: Beijing University of Aeronautics and Astronautics Press.

S. Vatari, A. Bakshi, & T. Thakur. (2016). Green house by using IOT and cloud computing. IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). pp. 246-250. Bangalore.

Cui Wenshun, Cui Shuo, Yuan Lizhe, & Shang Jiancheng. (2013). Design and implementation of sunlight greenhouse service platform based on IOT and cloud computing. Proceedings of 2013 2nd International Conference on Measurement, Information and Control. pp. 141-144. Harbin.

Ji-chun Zhao, Jun-feng Zhang, Yu Feng, & Jian-xin Guo. (2010). The study and application of the IOT technology in agriculture. The 3rd International Conference on Computer Science and Information Technology. pp. 462-465. Chengdu.

K. Saraubon. (2018). Development of IoT on Arduino and Raspberry Pi Platform. Bangkok: Intermedia.

Dag H. Hanssen. (2015). Programmable Logic Controllers: A Practical Approach to IEC 61131-3 using CoDeSys. John Wiley & Sons.

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Published

2021-06-30

How to Cite

Arisariyawong, T. ., Chantanamatta, P. ., Wongamrest, T. ., & Karawan, C. (2021). AUTOMATIC CONTROL SYSTEM FOR ORGANIC GREENHOUSE. Srinakharinwirot University Journal of Sciences and Technology, 13(25, January-June), 52–63. Retrieved from https://ph02.tci-thaijo.org/index.php/swujournal/article/view/246635

Issue

Vol. 13 No. 25, January-June (2021): Srinakharinwirot University (Journal of Science and Technology)

Section

บทความวิจัย

License

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