Towards artificial flavor perception of black tea

Abstract

The human perception process related to quality evaluation of food or beverages can be broadly divided into two processessensation and perception. While the process of sensation is responsible for collection of huge amount of data using the different sensory organs, the perception process interprets the data by a fusion process in the brain. In this paper, we describe a fusion model to combine the senses of smell and taste for quality assessment of black tea using two instruments -electronic nose and electronic tongue. As a first level of analysis, principal component of analysis is used for clustering and fuzzy ART artificial neural network for classification of the samples.