Application of Ant Colony Clustering Algorithm in Discrimination the Origin of Longjing Tea

The existence of fake tea from non-origin impacts on the credibility and sales of the origin Longjing tea seriously. In order to weaken this impact, we proposed a technology using ant colony clustering algorithm in discrimination the origin of Longjing tea. Then acquired and analyzed the characteristics of the origin tea comprehensively, the 16 parameters of the images and spectra from each sample were collected, 180 samples from different origins were grouped respectively. At last we made use of colony clustering algorithm to classify the samples automatically. It was found that model based on the ant colony clustering algorithm had the best performance with accuracy of 92.2%. The result shows the method used in the identification of the origin of Longjing tea is possible.