Evaluation of CFD and machine learning methods on predicting greenhouse microclimate parameters with the assessment of seasonality impact on machine learning performance

Evaluation of CFD and machine learning methods on predicting greenhouse microclimate parameters with the assessment of seasonality impact on machine learning performance

For cleaner and sustainable greenhouse crops production, it is essential to successfully manage the needs and resources. Thus the prediction of the greenhouse microclimate, especially the temperature and relative humidity is of great interest. The research done in this area is, however, still limite...

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Bibliographic Details
Main Authors: Meryem El Alaoui, Laila Ouazzani Chahidi, Mohamed Rougui, Abdellah Mechaqrane, Senhaji Allal
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Scientific African
Subjects:
Agricultural greenhouse
CFD
Artificial intelligence
ANN
Bagging trees
Boosting trees
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227623000376

Internet

http://www.sciencedirect.com/science/article/pii/S2468227623000376

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