The Use of Artificial Neural Networks for Forecasting of Air Temperature inside a Heated Foil Tunnel
Sławomir Francik , Sławomir Kurpaska
AbstractIt is important to correctly predict the microclimate of a greenhouse for control and crop management purposes. Accurately forecasting temperatures in greenhouses has been a focus of research because internal temperature is one of the most important factors influencing crop growth. Artificial Neural Networks (ANNs) are a powerful tool for making forecasts. The purpose of our research was elaboration of a model that would allow to forecast changes in temperatures inside the heated foil tunnel using ANNs. Experimental research has been carried out in a heated foil tunnel situated on the property of the Agricultural University of Krakow. Obtained results have served as data for ANNs. Conducted research confirmed the usefulness of ANNs as tools for making internal temperature forecasts. From all tested networks, the best is the three-layer Perceptron type network with 10 neurons in the hidden layer. This network has 40 inputs and one output (the forecasted internal temperature). As the networks input previous historical internal temperature, external temperature, sun radiation intensity, wind speed and the hour of making a forecast were used. These ANNs had the lowest Root Mean Square Error (RMSE) value for the testing data set (RMSE value = 3.7 °C).
|Journal series||Sensors, [SENSORS-BASEL], ISSN 1424-8220, e-ISSN 1424-3210, (N/A 100 pkt)|
|Publication size in sheets||0.8|
|Keywords in English||artificial neural network; perceptron; temperature; forecasting; greenhouse; greenhouse foil tunnel|
|ASJC Classification||; ; ;|
|License||Journal (articles only); author's original; ; after publication|
|Publication indicators||= 2; : 2016 = 1.393; : 2018 = 3.031 (2) - 2018=3.302 (5)|
|Finansowanie||Article Processing Charges were ﬁnanced from the subsidy of the Ministry of Science and Higher Education for the Agricultural University of Hugo Kołła˛taj in Krakow for the year 2020.|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.