A Hybrid Case Based Reasoning Approach for Wine Classification

There is an increasing concern with the quality of beverage products, like water, milk, wine and coffee. For wine, in particular, the evaluation is usually performed by human tasters, which may require a long time for their training. Moreover, the use of human tasters usually presents high financial and health costs and has a strong subjective component. The quality control of beverages may strongly benefit from the automatic monitoring of their properties by using taste sensors and intelligent systems. This work investigates how the application of a artificial intelligence, more specifically a hybrid case-based system, can lead to an efficient tool for wine quality monitoring. For such, a set of measures extracted by a set of taste sensors is analysed by an intelligent hybrid system. Experimental results show the ability of the proposed system to evaluate wine quality.