Enshi Yulu tea is a famous steaming green tea with a national geographical indication.Enshi Yulu tea has well-preserved appearance and color under strict storage conditions.To rapidly and non-destructively predict the quality of Enshi Yulu tea conserved years,100 samples continuously stored 5 years (2010-2014) were studied with the near infrared spectroscopy.The least squares support vector machine combined with principal component analysis was used to establish the model for predicting the conservation years.The results showed that the cumulative contribution rate of the first three principal components,the coefficient of determination,and the root mean square error of prediction in the validation set was 99.99%,0.971 7 and 0.255 0,respectively.The initial realization of the rapid identification of conservation years of commercially green tea is available.It will provide a useful reference for discriminating the conservation years of other teas.