DSS for winemaker: A dynamic modeling approach

Abstract

In this paper, we present a decision support system for the fermentation step in winemaking based on a mathematical model of kinetics of alcoholic fermentation. We used an optimization technique in order to predict the fermentation step. This optimization technique was carried out using the method of factorial analysis. The first interesting application of this system, rather than existing ones, comes from the fact that it can predict the evolution of pH during alcoholic fermentation. Recall that pH is used in oenology as an indicator of censorial properties, efficiency of sulfating and contamination risks. The second interesting application of this software is that it allows users "online" monitoring of the evolution of the constituents of grape musts. © 2012 Springer-Verlag.