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This paper studied the classification method of tea using portable Laser Induced Breakdown Spectroscopy (LIBS) system to distinguish different kinds of tea with similar appearances from each other. The basic classification algorithm was Random Forests, and an improved data processing method of spectroscopies was presented to increase the classification accuracy. The provenance of tea was set as the classification label because that tea produced in some specific areas may have higher economic value. Fifteen kinds of green tea were collected from the market, of which nine were produced in Guizhou Province and the other six were produced in six other provinces. The spectral integral normalization method, and element window filtering method were proposed to process spectral normalization and screening. The parameters of Random Forests algorithm were optimized to achieve both high accuracy and low …