Short-Term Localized External Temperature Prediction for an Intelligent Greenhouse
نویسنده
چکیده
Climate control for intelligent greenhouses is currently an active field of research. Model based intelligent greenhouse control systems seem to increase the control performance over traditional solutions. This paper focuses on one aspect of the modeling necessary for the intelligent control systems, namely predicting the external temperature, which is closely related to the actual weather conditions. The paper demonstrates the limited performance of uninformed, simple methods for temperature forecasts, and introduces more accurate solutions using information from the problem domain.
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