24-hour greenhouse temperature prediction model based on the weather forecast

DOI

10.2991/itoec-15.2015.40How to use a DOI?

Keywords

Maximum temperature, Weather forecast, Correlation coefficient, Prediction Model

Abstract

The relationship of maximum temperature minimum temperature mean temperature and 24-hour temperature between inside and outside greenhouse based on the weather forecast were studied in this paper. The established prediction models were tested and the error was analyzed. Correlation coefficients of maximum temperature minimum temperature and mean temperature between inside and outside greenhouse are 0.9059 0.9472 and 0.9627 separately, Correlation coefficients of 24-hour temperature between inside and outside greenhouse are from 0.8797 to 0.9868, all passed the test of significance at the 0.01 level, all the standard error/mean of prediction models are less than 15%. Correlation coefficients between the real value and predicted value are from 0.8916 to 0.9525, the analysis shows that the prediction models have good predict performances, so as to provide some help for the regulation of greenhouse environment.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun wang
AU  - Yu Haiye
PY  - 2015/03
DA  - 2015/03
TI  - 24-hour greenhouse temperature prediction model based on the weather forecast
BT  - Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference
PB  - Atlantis Press
SP  - 191
EP  - 195
SN  - 2352-538X
UR  - https://doi.org/10.2991/itoec-15.2015.40
DO  - 10.2991/itoec-15.2015.40
ID  - wang2015/03
ER  -