Instrumental testing of tea by combining the responses of electronic nose and tongue

► Classification of tea is proposed considering two important attributes - aroma and taste. ► Electronic nose and tongue are employed to measure the aroma and taste features. ► PCA and LDA are used for visualization of clustering nature. ► Classification of data is performed using neural network classifiers. ► For combined information, both clustering and the classification rates are improved.