The Use of Artificial Neural Networks for Forecasting of Air Temperature inside a Heated Foil Tunnel
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Department of Mechanical Engineering and Agrophysics, University of Agriculture in Krakow, 31-120 Kraków, Poland
2
Department of Bioprocess, Power Engineering and Automation, University of Agriculture in Krakow, 31-120 Kraków, Poland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(3), 652; https://doi.org/10.3390/s20030652
Received: 31 December 2019
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Revised: 20 January 2020
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Accepted: 22 January 2020
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Published: 24 January 2020
(This article belongs to the Special Issue Sensors in Agriculture 2019)
It 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).
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Keywords:
artificial neural network; perceptron; temperature; forecasting; greenhouse; greenhouse foil tunnel
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MDPI and ACS Style
Francik, S.; Kurpaska, S. The Use of Artificial Neural Networks for Forecasting of Air Temperature inside a Heated Foil Tunnel. Sensors 2020, 20, 652. https://doi.org/10.3390/s20030652
AMA Style
Francik S, Kurpaska S. The Use of Artificial Neural Networks for Forecasting of Air Temperature inside a Heated Foil Tunnel. Sensors. 2020; 20(3):652. https://doi.org/10.3390/s20030652
Chicago/Turabian StyleFrancik, Sławomir, and Sławomir Kurpaska. 2020. "The Use of Artificial Neural Networks for Forecasting of Air Temperature inside a Heated Foil Tunnel" Sensors 20, no. 3: 652. https://doi.org/10.3390/s20030652
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