In order to explore a rapid and non-destructive method for identifying storable quality of indica paddy, experiments were conducted on 80 samples of severely unstorable indica paddy and 80 samples of other indica paddy. Support vector machine (SVM) method was selected to build qualitative model according to training samples’ characteristics. A combined kernel function was defined after analyzing and studying different kernel function. The proposed combined kernel function was the linear combination of polynomial function and radial basis function, and it combined each advantage of these two functions to acquire both interpolation and extrapolation properties of kernel function. The experiments showed that the model had the best comprehensive performance when the linear combination polynomial function and radial basis function was taken as the kernel function of SVM, and the control factor was 0.7. The training identification rate was 97.21%，and the test identification rate was 93.25%.