Integrated diagnosis model is a new method of soil moisture monitoring, diagnosis and forecast. It includes six independent models and some logical relationships, which is determined based on relationships between the sum of water income and soil water content. The six independent models were based on the quantitative relationship between the monitoring data of soil water content and the precipitation of the nearest weather station to diagnose or forecast the soil water content. In this paper, the application accuracy and adaptability of the integrated diagnosis model in the semiarid and semihumid regions of Northeast China were validated by the data of 6 soil moisture monitoring sites in 4 counties in Jilin Province. The model was established by the data during the period of 2013-2014, and validated by the data of 2015. For a better application of the model, the model parameters of each monitoring point were corrected. The results showed that in the case of monitoring point modeling, the models and parameters under different climates and the surface conditions were different. The model had good adaptability in semi-arid and semi-humid regions in Jilin Province, and the qualification rate was above 88%. The model for low rainfall monitoring sites had higher qualification rate. Integrated diagnosis model of soil moisture in the semi-arid and semi-humid regions of Jilin Province had high application accuracy, which provides a case study for the application of the model in this area.