Study on the Minimum Temperature Change Characteristics and Forecast Model of Winter Facilities Watermelon in Central Shandong

Abstract

Based on the data of the watermelon greenhouse microclimate observation station in Changle County, Weifang City, Shandong Province, this paper adopts the stepwise regression method to build the winter watermelon greenhouse minimum temperature prediction model and verify the model. The results showed that the lowest temperature inside the shed was always higher than that outside the shed, and the lower the air temperature outside the shed, the greater the difference between the air temperature inside and outside the shed; under different weather conditions, the average absolute error of the measured and simulated values of each model is between 1.1 ˚C and 1.3 ˚C, and the fitting effect is good.