Using rapeseed observation data from the Huishui County Agricultural meteorological Station in Guizhou Province and daily precipitation, average temperature, and sunshine data. The correlation analysis and stepwise regression methods were used to analyze the influence of meteorological elements on the full flowering period of rapeseed in Huishui County. The results showed that there was a significant negative correlation between the full flowering period and the accumulated temperature during the wintering period. The higher the accumulated temperature, the earlier the flowering period was. There was a certain relationship between flowering duration and temperature, sunshine, and precipitation, but full flowering period was sensitive to temperature factors and was less sensitive to precipitation and sunshine factors. Stepwise regression was performed using 40 factors such as temperature, precipitation, and sunshine. The prediction model of full flowering period anomalies has a high degree of fitting in the test of returns.