Objective: The aim of this study was to express the odor and taste of Chinese Hawthorn objectively by using electronic nose and electronic tongue technology to, then to distinguish the samples collected from different areas and species. Method: The odors and taste response values of Chinese Hawthorn samples were obtained by using electronic nose and electronic tongue. The data was analyzed through principal component analysis (PCA), discriminant factor analysis (DFA) and statistical quality control (SQC) analysis. Result: Chinese Hawthorn samples from both different areas and species can be discriminated by electronic nose, and electronic tongue can effectively distinguish samples from different species. Conclusion: Electronic nose and electronic tongue can be used to distinguish Chinese Hawthorn samples from different areas and species, and in combination with chemometric models they could be applied to identify the odor and taste of Chinese Hawthorn as a new method.