APPLICATION OF ARTIFICIAL INTELLIGENCE TO CONTROL AND OPTIMIZE THE USE OF ENERGY THAT PROVIDES LIGHTING WITHIN THE AGRICULTURAL GREENHOUSE

Published 30 June 2020 •  vol 13  •  no 6  • 


Authors:

 

Didi Faouzi, Faculty of Science and Technology, Department of Physics, University of Abou-bakr Belkaïd, B.P. 119, Tlemcen, Algeria
Nasr Eddine Benmoussa, Materials and Renewable Energy Research Unit M.R.E.R.U University of Abou-bakr Belkaïd, B.P. 119, Tlemcen, Algeria
Nacereddine Bibi-Triki, Materials and Renewable Energy Research Unit M.R.E.R.U University of Abou-bakr Belkaïd, B.P. 119, Tlemcen

Abstract:

 

Changing the world's policy towards another source of energy that would replace the oil and gas fossil fuels is an obligation imposed by the latest events, such as climate change, the greenhouse effect, Instability of oil prices. Renewable energies are seen as the best solutions to solve these problems. This work deals with the use of artificial intelligence to control energy in greenhouses that play an important role in the field of agronomy. The objective of this study is to model a fuzzy controller by the Mamdani method using the software of MTLAB Simulink whose role is the intelligent management of the energy and the control of the climate in the greenhouse and exact control of The light inside the greenhouse.

Keywords:

 

Optimization, Modelling, Simulation, Energy, Lighting, Control, Greenhouse, Micro Climate

References:

 

[1] Didi Faouzi, N. Bibi Triki and A. Chermitti, 2016. Optimizing the greenhouse micro-climate management by the introduction of artificial intelligence using fuzzy logic. Int. J. Computer Eng. Technology, 7: 78-92 , Volume 7, Issue 3, May-June 2016, pp. 78–92, Article ID: IJCET_07_03_007.
[2] Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Abène, 2016 , Modeling, Simulation and Optimization of- agricultural greenhouse microclimate by the application of-artificial intelligence and/or fuzzy logic, International journal of scientific & engineering research, volume 7, issue 8, august-2016 issn 2229-5518.
[3] Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Abène, 2016 Comparison of modeling and simulation results management micro climate of the greenhouse by fuzzy logic between a wetland and arid region, International Journal of Multidisciplinary Research and Modern Education (IJMRME) ISSN (Online): 2454 - 6119, Volume II, Issue II, 2016.
[4] Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Abène, 2016 , Modeling and Simulation of Fuzzy Logic Controller for the purpose of Optimizing the Management Micro Climate of the Agricultural Greenhouse, MAYFEB Journal of Agricultural Science Vol 2 (2016).
[5] Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Abène, 2017, Greenhouse Environmental Control Using Optimized, Modeled and Simulated Fuzzy Logic Controller Technique in MATLAB SIMULINK, Computer Technology and Application 7 (2016) 273-286, doi: 10.17265/1934-7332/2016.06.002.
[6] Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Abène. Dated 10th March 2017, The Optimal Management of the Micro Climate of the Agricultural Greenhouse through the Modeling of a Fuzzy Logic Controller, International Knowledge Press, Journal of Global Agriculture and Ecology (JOGAE), 7(1): 1-15, 2017, ISSN: 2454-4205, Ref. No. IKP/JOGAE/17/0102.
[7] Jamisson M. Hill, Dynamic modeling of tree growth and energy use in a nursery greenhouse using MTLAB and Simulink, Cornell University, 7/31/2006.

Citations:

 

APA:
Faouzi, D., Benmoussa, N. E., & Bibi-Triki, N. (2020). Application of Artificial Intelligence to Control and Optimize the Use of Energy that Provides Lighting within the Agricultural Greenhouse. International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, 13(6), 1-10. doi: 10.33832/ijca.2020.13.6.01.

MLA:
Faouzi, Didi, et al. “Application of Artificial Intelligence to Control and Optimize the Use of Energy that Provides Lighting within the Agricultural Greenhouse.” International Journal of Control and Automation, ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 6, 2020, pp. 1-10. IJCA, http://article.nadiapub.com/IJCA/vol13_no6/1.html.

IEEE:
[1] D. Faouzi, N. E. Benmoussa, and N. Bibi-Triki, "Application of Artificial Intelligence to Control and Optimize the Use of Energy that Provides Lighting within the Agricultural Greenhouse." International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 6, pp. 1-10, June 2020.