Multi-layer Perceptron Neural Network to Assess the Thermal Behaviour of a Moroccan Agriculture Greenhouse

Noureddine Choab, Hamza Ali-Ou-Salah, Abdeljalil Jikal, Said Saadeddine, Ataa Abouatallah

2021

Abstract

The aim of this research is to demonstrate how machine learning algorithms can estimate the temperature and relative humidity of a Moroccan greenhouse's inside air. The prediction model was created using a Multi-Layer Perceptron neural network (MLPNN) trained using the Levenberg-Marquardt backpropagation technique. The weather data and indoor air temperature and relative humidity of a greenhouse located in Agadir, Morocco were used. The results reveal that the MLPNN's Root Mean Square Error (RMSE) values are very low, and the Karl Pearson's coefficient of correlation (R) values are very close to 1, indicating that the MLPNN has a high predicting accuracy. In addition the result of the comparison between the results obtained by the MLPNN model and the data from the experiment shows that the predicted and measured indoor thermal behaviour are similar, which mean that the MLPNN have a high ability to predict the greenhouse thermal behaviour.

Paper Citation

in Harvard Style

Choab N., Ali-Ou-Salah H., Jikal A., Saadeddine S. and Abouatallah A. (2021). Multi-layer Perceptron Neural Network to Assess the Thermal Behaviour of a Moroccan Agriculture Greenhouse. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 10-14. DOI: 10.5220/0010727400003101

in Bibtex Style

@conference{bml21,
author={Noureddine Choab and Hamza Ali-Ou-Salah and Abdeljalil Jikal and Said Saadeddine and Ataa Abouatallah},
title={Multi-layer Perceptron Neural Network to Assess the Thermal Behaviour of a Moroccan Agriculture Greenhouse},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={10-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010727400003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Multi-layer Perceptron Neural Network to Assess the Thermal Behaviour of a Moroccan Agriculture Greenhouse
SN - 978-989-758-559-3
AU - Choab N.
AU - Ali-Ou-Salah H.
AU - Jikal A.
AU - Saadeddine S.
AU - Abouatallah A.
PY - 2021
SP - 10
EP - 14
DO - 10.5220/0010727400003101