Prediction of the intern parameters tomato greenhouse in a semi-arid area using a time-series model of artificial neural networks

In this paper, an artificial neural network (ANN) was developed and used to predict the internal parameters inside the greenhouse during a 7-days period. The model database was collected starting from the greenhouse climatic data in real tomato culture in the Agadir area in Morocco. The External Moisture (Mext), the Total Radiation (Rt), the Wind Direction (Dw), the Wind Velocity (Vw) and the External Temperature (Text) are retained like relevant entries of the time-series model. The comparison between the obtained results and experimental ones indicates that the ANN method is suitable to predict the greenhouse climatic data.