Understanding Quality of Pinot Noir Wine: Can Modelling and Machine Learning Pave the Way?

ABSTRACT: Wine research has as its core components the disciplines of sensory analysis, viticulture, and oenology. Wine quality is an important concept for each of these disciplines, as well as for both wine producers and consumers. Any technique that could help producers to understand the nature of wine quality and how consumers perceive it, will help them to design even more effective marketing strategies. However, predicting a wine's quality presents wine science modelling with a real challenge. We used sample data from Pinot noir wines from different regions of New Zealand to develop a mathematical model that can predict wine quality, and applied dimensional analysis with the Buckingham Pi theorem to determine the mathematical relationship among different chemical and physiochemical compounds. T

SUBMITTER: Tiwari P 

PROVIDER: S-EPMC9562230 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature