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
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 cont...
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| Format: | Article |
| Language: | English |
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Ediciones Universidad de Salamanca
2021-02-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/index.php/2255-2863/article/view/25386 |
| _version_ | 1818663455733841920 |
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| author | Malika Amari Faouzi Didi Benyoucef Khalili Foudil Benzerfa Mohammed Salim Hadjidj |
| author_facet | Malika Amari Faouzi Didi Benyoucef Khalili Foudil Benzerfa Mohammed Salim Hadjidj |
| author_sort | Malika Amari |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-12-17T05:17:07Z |
| format | Article |
| id | doaj.art-6b8c84de4451478ca8e6921134330eb6 |
| institution | Directory Open Access Journal |
| issn | 2255-2863 |
| language | English |
| last_indexed | 2024-12-17T05:17:07Z |
| publishDate | 2021-02-01 |
| publisher | Ediciones Universidad de Salamanca |
| record_format | Article |
| series | Advances in Distributed Computing and Artificial Intelligence Journal |
| spelling | doaj.art-6b8c84de4451478ca8e6921134330eb62022-12-21T22:02:04ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632021-02-01101779710.14201/ADCAIJ2021101779725386Comparative 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 regionMalika Amari0Faouzi Didi1Benyoucef Khalili2Foudil Benzerfa3Mohammed Salim Hadjidj4University Yahia Fares of MedeaUniversity of Yahia FaresUniversity Mohamed BougaraUniversity of MédéaAbou Bekr Belkaïd UniversityCurrently 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).https://revistas.usal.es/index.php/2255-2863/article/view/25386thermal energythermal balancemodelingfuzzy logic controlleroptimizationsimulationgreenhouse & microclimate |
| spellingShingle | Malika Amari Faouzi Didi Benyoucef Khalili Foudil Benzerfa Mohammed Salim Hadjidj 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 Advances in Distributed Computing and Artificial Intelligence Journal thermal energy thermal balance modeling fuzzy logic controller optimization simulation greenhouse & microclimate |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | thermal energy thermal balance modeling fuzzy logic controller optimization simulation greenhouse & microclimate |
| url | https://revistas.usal.es/index.php/2255-2863/article/view/25386 |
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