Abstract:

In order to improve the service level and promote the protected agricultural development, it is critical for establish microclimate forecast models through observation inside and outside meteorological elements, using of BP nerve network, stepwise regression and energy balance theory. Results showed that: forecasting model based on BP nerve network was of high accuracy, but it was not appropriate for application. The forecasting model set up on energy balance theory was low accuracy and long computing time. Compared with the two above models, greenhouse temperature forecasting model adopting stepwise regression method was of comprehensive advantage and is properly applied to routine operation service.