Abstract
Based on the comparison and observations of the internal and external meteorological conditions of the heliogreenhouse, BP neural network, stepwise regression and energy balance principle were used, respectively, to construct the greenhouse air temperature prediction model. The results showed that although the BP neural network- based prediction model had a high forecasting accuracy, due to the comparatively different growth characteristics of cultivated crops, there was a lack of wide adaptability of services; the mechanism of the prediction model constructed by the energy balance principle was strong, but it was difficult to obtain the relevant parameters and had a poor prediction accuracy and a short effective service period; the greenhouse temperature prediction model constructed by the stepwise regression had a comparative advantage over the previous two models and the forecasting effectiveness can be for the next 1-7 days.
Highlights
The main role of the heliogreenhouses in China is horticultural crops, especially the anti-season production of vegetables in winter
Variation characteristics of ground temperature of the heliogreenhouse in winter: Figure 1 shows the graph of the daily changes in ground temperature at varying depths of the heliogreenhouse under different weather types in Laiwu winter
Variation characteristics of heliogreenhouses ground temperature: Under all types of weather conditions, the diurnal range of temperature of different soil layers gradually decreased with increasing soil depth
Summary
The main role of the heliogreenhouses in China is horticultural crops, especially the anti-season production of vegetables in winter In this production process, the ground temperature is one of the main meteorological factors that have a direct impact on vegetable development. Based on experimental observations, Bai et al (1998) explored the variation characteristics of the air temperature and ground temperature of the heliogreenhouse in winter. According to the relationship of the solar elevation angle and the greenhouse air-ground temperature, Yun and Zhang (1992) constructed a ground temperature forecast model with the solar elevation angle as the independent variable. Using the theory of heat conduction, He et al (2005) constructed a theoretical model about the effect of the internal and external weather conditions on indoor ground temperature of a heliogreenhouses within 30 min.
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