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Reseach Article

An Intelligent Temperature Control System for a Prototype Greenhouse

by Zaidon Faisal Shenan, Ali F. Marhoon, Abbas A. Jasim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 2
Year of Publication: 2017
Authors: Zaidon Faisal Shenan, Ali F. Marhoon, Abbas A. Jasim
10.5120/ijca2017915736

Zaidon Faisal Shenan, Ali F. Marhoon, Abbas A. Jasim . An Intelligent Temperature Control System for a Prototype Greenhouse. International Journal of Computer Applications. 178, 2 ( Nov 2017), 28-35. DOI=10.5120/ijca2017915736

@article{ 10.5120/ijca2017915736,
author = { Zaidon Faisal Shenan, Ali F. Marhoon, Abbas A. Jasim },
title = { An Intelligent Temperature Control System for a Prototype Greenhouse },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2017 },
volume = { 178 },
number = { 2 },
month = { Nov },
year = { 2017 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number2/28646-2017915736/ },
doi = { 10.5120/ijca2017915736 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:49:18.039549+05:30
%A Zaidon Faisal Shenan
%A Ali F. Marhoon
%A Abbas A. Jasim
%T An Intelligent Temperature Control System for a Prototype Greenhouse
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 2
%P 28-35
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Know days, the Greenhouse has been improved and developed by using modern technologies. The target of the paper is designing and implementing an intelligent cooling/heating system, the system should be built by employing a low power consumption and efficient device that called Thermo-electric cooler (Peltier). The main goal of this system is to make the temperature inside the greenhouse under control and provide the plants with appropriate environments to ensure healthy products. The system implementation should be divided into two parts: hardware and software. The hardware part is compromising the process of designing and implementing a control circuit that works on deriving the Peltier according control signals that come from the microcontroller. The second part (Software) is about designing a fuzzy controller that act as a brain of the system and manages the entire process until reaching the desired set-points. The Fuzzy controller depend on two inputs the error (Err) and change of the error (ΔErr). The overall system is implemented based on a standalone microcontroller with a simple sensor and actuator. The prescribed system has been tested with several experiments using various transition set points. The experiments results show an accepted response that suitable for greenhouse applications.

References
  1. D. Chaudhary, S. Nayse, and L. Waghmare, "Application of wireless sensor networks for greenhouse parameter control in precision agriculture," International Journal of Wireless & Mobile Networks (IJWMN) Vol, vol. 3, pp. 140-149, 2011.
  2. M. D. Thakor, S. Hadia, and A. Kumar, "Precise temperature control through Thermoelectric Cooler with PID controller," in Communications and Signal Processing (ICCSP), 2015 International Conference on, 2015, pp. 1118-1122.
  3. S. Dai and Y. Li, "Applied Research of the Intelligent Temperature-Controlled Speed Adjustable Motor in Radiator Fan," in Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on, 2012, pp. 779-782.
  4. A. Montoya, J. Guzmán, F. Rodríguez, and J. Sánchez-Molina, "A hybrid-controlled approach for maintaining nocturnal greenhouse temperature: Simulation study," Computers and Electronics in Agriculture, vol. 123, pp. 116-124, 2016.
  5. S. Revathi and N. Sivakumaran, "Fuzzy Based Temperature Control of Greenhouse," IFAC-PapersOnLine, vol. 49, pp. 549-554, 2016.
  6. R.-O. Grigoriu, A. Voda, N. Arghira, V. Calofir, and S. S. Iliescu, "Temperature control of a greenhouse heated by renewable energy sources," in Electrical Machines & Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Electrical & Electronic Equipment (OPTIM) & 2015 Intl Symposium on Advanced Electromechanical Motion Systems (ELECTROMOTION), 2015 Intl Aegean Conference on, 2015, pp. 494-499.
  7. S. Twaha, J. Zhu, Y. Yan, and B. Li, "A comprehensive review of thermoelectric technology: Materials, applications, modelling and performance improvement," Renewable and Sustainable Energy Reviews, vol. 65, pp. 698-726, 2016.
  8. The Calculator. ( 2014 - 2017 ). Retrived from https://www.thecalculator.co/lifestyle/BTU-Calculator-97.html.
Index Terms

Computer Science
Information Sciences

Keywords

The Greenhouse Technology Temperature Control Fuzzy Controller Thermo-electric cooler.