Incorporating AI models into food and beverage manufacturing can greatly benefit the industry in developing new products and improving existing recipes to meet consumer preferences. This can save a significant amount of time and money that would have been spent on conducting trials.

In a five-year study, researchers analyzed 250 commercial beers to measure their chemical properties and flavor compounds, which are key determinants of taste. By combining these detailed chemical analyzes with ratings from a trained tasting panel and reviews from an online platform, the researchers created a comprehensive data set.

The dataset included information on chemical composition and sensory characteristics, which was used to train 10 machine learning models. These models were designed to accurately predict a beer’s taste, aroma, mouthfeel, and overall quality as well as predict how likely consumers were to rate it highly. By incorporating a wide range of data sources, the researchers developed sophisticated models that could help improve the brewing process.

By Samantha Johnson

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