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The intelligent olfactory spectrograms of Xihu Longjing tea were collected by electronic nose. The spectrograms scores matrix that obtained by principal component analysis was applied. The influence of the information from grading, tree varieties and producing areas on quality of tea was analyzed. The soft independent modeling of class analogy was used to establish three kinds of models for grading, tree varieties and producing areas, respectively. Results showed that the intelligent olfactory spectrograms from different grading tea had the most difference than the other two elements. The grading discrimination model had well performance with about 100% correct rate to predict top grade teas. Meanwhile, the influences of tree varieties and location on the tea quality were seemed to be similar. Under the same grade and same producing area, the tree varieties discrimination model of tea was built. Also, the producing area discrimination model of tea was built. The correct rates of the two models were all over 92%. On the basis of above study, the quick detection strategy of Xihu Longjing tea by intelligent olfactory technology was presented, that is, grading demarcation, tree varieties identification and producing area distinguishing under the same grading were carried out in turn.