Abstract: To guide farmers in advance to take corresponding measures of increasing soil moisture and ensure proper sowing and normal seedling emergence of maize ,and improve the meteorological service capacity for agriculture, Tongliao city 8 counties station meteorological data and soil moisture monitoring data were applied to establish spring sowing maize soil moisture forecast model using principal component analysis and multiple regression equation. Results showed that the effect of meteorological conditions of soil moisture in spring sowing period of corn in each area of Tongliao city was roughly the same, but slightly different. The accuracy rate of 8 meteorological stations of the forecasting model overall was 78% and achieved the desired objectives, so the model fitting degree was better.