Comparative analysis of the management of the results of the modeling and the simulation of the evaluation of the thermal energy of the greenhouse by a fuzzy logic controller between a wet region and an arid region
Abstract Currently the climate computer offers many benefits and solves problems related to the regulation, monitoring and controls. Greenhouse growers remain vigilant and attentive, facing this technological development. They ensure competitiveness and optimize their investments / production cost which continues to grow. The application of artificial intelligence in the industry known for considerable growth, which is not the case in the field of agricultural greenhouses, where enforcement remains timid. It is from this fact, we undertake research work in this area and conduct a simulation based on meteorological data through MATLAB Simulink to finally analyze the thermal behavior greenhouse microclimate energy. In this paper we present comparison of modeling and simulation management of the greenhouse microclimate by fuzzy logic between a wetland (Dar El Beida Algeria) and the other arid (Biskra Algeria).
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Bendimerad S., T. Mahdjoub , N. Bibi-Triki , M.z Bessenouci , B. Draoui , H. Brchar, Simulation and Interpretation of the BIBI Ratio CB (.), as a Function of Thermal Parameters of the Low Inertia Polyethylene Wall of Greenhouses. Rev ELSEVIER Physics Procedia 55(2014)157-164.
Bibi-Triki N., S. Bendimemerad, A.chermitti, T. Mahdjoub, B. Draoui, A. Abene. Modeling, characterization and Analysis of the dynamic behavior of heat transfer through polyethylene and glass wall of greenhouses . Elsevier -Physics Procedia 21(2011)67-74.
Bouaama F., B. Draoui, Greenhouse Environmental Control Using Optimized MIMO PID Technique Sensors & Transducers Journal, Vol. 133, Issue 10, October 2011, pp. 44-52.
Bouaama F., K. Lammari , B. Draoui Greenhouse Air Temperature Control Using Fuzzy PID+I and Neuron Fuzzy Hybrid System Controller International Review of Automatic Control (I.RE.A.CO), Vol. 1. n. 3, pp. 311-320, September 2008.
Campbell, Neil A.; Brad Williamson; Robin J. Heyden (2006). Biology: Exploring Life (http:/ / www. phschool. com/ el_marketing. html). Boston, Massachusetts: Pearson Prentice Hall. ISBN 0-13-250882-6.
Dhamakale S. D. and S.B. Patil, Fuzzy Logic Approach with Microcontroller for Climate Controlling in Green House, International Journal on Emerging Technologies 2(1): 17-19(2011).
Didi Faouzi, Nacereddine Bibi Triki , Ali Chermitti , Optimizing the greenhouse micro-climate management by the introduction of artificial intelligence using fuzzy logic, International Journal of Computer Engineering & Technology (IJCET), Volume 7, Issue 3, May-June 2016, pp. 78–92, Article ID: IJCET_07_03_007 , Available online http://www.iaeme.com/IJCET/issues.asp?JType=IJCET&VType=7&IType=3.
Draoui B. , F. Bounaama , T. Boulard , N. Bibi-Triki, In-situ Modelization of a Greenhouse Climate Including Sensible Heat, Water Vapor and CO2 Balances. EPD science,2013 EPS Web of conferences 45.01023(2013) DOI : 10105/epjconf/201334501023.
Gurbaoui M., A. Ed-Dahhak , Y. Elafou , A. Lachhab , L. Belkoura and B. Bouchikhi, Implementation of direct fuzzy controller in greenhouse based on labview, International Journal of Electrical and Electronics Engineering Studies Vol.1 No.1, pp.1-13, September 2013.
Jamisson M. Hill, dynamic modeling of tree growth and energy use in a nursery greenhouse using MTLAB and Simulink , Cornell University , 7/31/2006.
Khelifa Lammari, F. Bouaama , B. Draoui ,Benyoucef Mrah, Mohamed Haidas, GA Optimization of the Coupled Climate model of an order two of a Greenhouse . Rev Elsevier Energy Procedia 18 (2012) 416 – 425.
Salgado, P., J. B. Cunha, and C. Couto. 1998. A fuzzy identification and controller for the agricultural greenhouse. 7th International Conference on Computers in Agriculture. St. Joseph, MI: ASAE.
Abdelhafid Hasni, B. Draoui, T. Boulard, Rachid Taibi , Abdedjebar Hezzab, Evolutionary Algorithms in the Optimization of Greenhouse Climate Model Parameters . International Review On Computers and Software (I.RE.CO.S) ,Vol. 3 , N.6 November 2008.
Bendimerad S., T. Mahdjoub , N. Bibi-Triki , M.z Bessenouci , B. Draoui , H. Brchar, Simulation and Interpretation of the BIBI Ratio CB (.), as a Function of Thermal Parameters of the Low Inertia Polyethylene Wall of Greenhouses. Rev ELSEVIER Physics Procedia 55(2014)157-164.
Bibi-Triki N., S. Bendimemerad, A.chermitti, T. Mahdjoub, B. Draoui, A. Abene. Modeling, characterization and Analysis of the dynamic behavior of heat transfer through polyethylene and glass wall of greenhouses . Elsevier -Physics Procedia 21(2011)67-74.
Bouaama F., B. Draoui, Greenhouse Environmental Control Using Optimized MIMO PID Technique Sensors & Transducers Journal, Vol. 133, Issue 10, October 2011, pp. 44-52.
Bouaama F., K. Lammari , B. Draoui Greenhouse Air Temperature Control Using Fuzzy PID+I and Neuron Fuzzy Hybrid System Controller International Review of Automatic Control (I.RE.A.CO), Vol. 1. n. 3, pp. 311-320, September 2008.
Campbell, Neil A.; Brad Williamson; Robin J. Heyden (2006). Biology: Exploring Life (http:/ / www. phschool. com/ el_marketing. html). Boston, Massachusetts: Pearson Prentice Hall. ISBN 0-13-250882-6.
Dhamakale S. D. and S.B. Patil, Fuzzy Logic Approach with Microcontroller for Climate Controlling in Green House, International Journal on Emerging Technologies 2(1): 17-19(2011).
Didi Faouzi, Nacereddine Bibi Triki , Ali Chermitti , Optimizing the greenhouse micro-climate management by the introduction of artificial intelligence using fuzzy logic, International Journal of Computer Engineering & Technology (IJCET), Volume 7, Issue 3, May-June 2016, pp. 78–92, Article ID: IJCET_07_03_007 , Available online http://www.iaeme.com/IJCET/issues.asp?JType=IJCET&VType=7&IType=3.
Draoui B. , F. Bounaama , T. Boulard , N. Bibi-Triki, In-situ Modelization of a Greenhouse Climate Including Sensible Heat, Water Vapor and CO2 Balances. EPD science,2013 EPS Web of conferences 45.01023(2013) DOI : 10105/epjconf/201334501023.
Gurbaoui M., A. Ed-Dahhak , Y. Elafou , A. Lachhab , L. Belkoura and B. Bouchikhi, Implementation of direct fuzzy controller in greenhouse based on labview, International Journal of Electrical and Electronics Engineering Studies Vol.1 No.1, pp.1-13, September 2013.
Jamisson M. Hill, dynamic modeling of tree growth and energy use in a nursery greenhouse using MTLAB and Simulink , Cornell University , 7/31/2006.
Khelifa Lammari, F. Bouaama , B. Draoui ,Benyoucef Mrah, Mohamed Haidas, GA Optimization of the Coupled Climate model of an order two of a Greenhouse . Rev Elsevier Energy Procedia 18 (2012) 416 – 425.
Salgado, P., J. B. Cunha, and C. Couto. 1998. A fuzzy identification and controller for the agricultural greenhouse. 7th International Conference on Computers in Agriculture. St. Joseph, MI: ASAE.
Amari, M., Didi, F., Khalili, B. ., Benzerfa, F. ., & Hadjidj, M. S. (2021). Comparative analysis of the management of the results of the modeling and the simulation of the evaluation of the thermal energy of the greenhouse by a fuzzy logic controller between a wet region and an arid region. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 10(1), 77–97. https://doi.org/10.14201/ADCAIJ20211017797
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