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ANALYSIS OF LARGE COMMERCIAL GREENHOUSES IN WARM CLIMATES USING CFD AND BAYESIAN NETWORKS | .......

The design of greenhouses in warm areas is a serious issue since their dimensions may have harmful impacts on crops. Smaller greenhouses provide less stable conditions than larger commercial greenhouses, but they are easier to control. Large greenhouses, on the other hand, are more profitable for managerial reasons. The biggest issue with a large commercial greenhouse is insufficient ventilation, which necessitates the use of forced ventilation, which raises production expenses. To lessen the unfavourable impacts of solar radiation, airflow speed near the floor is minimal. Using Computational Fluid Dynamics approximation, we examined the climatic conditions within a big commercial greenhouse in order to optimise its design. The numerical approximation's results were examined using Bayesian classifiers in order to better the links between variables used to define environmental conditions. The height of the cover controls the amount of radiation incident inside the large greenhouse shape. As a result, higher greenhouses are more handy because they are cooler. The findings of this study will be relevant in future designs in warm-climate countries.




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