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MBAA TQ Vol. 60, No. 4, 2023 AI and Digital Technologies – A Look to the Future of Brewing Operations Using Computer and AI Automation and Sensing
Page Content MBAA TQ vol. 60, no. 4, 2023, pp. 90-95
Internet of Things Approach to Automated Autoclave Control in Craft Brewery Laboratories
Matthew T. Cottrell. Quality Manager and Microbiologist, Lord Hobo Brewing Company, Woburn, MA, USA
MBAA TQ vol. 60, no. 4, 2023, pp. 96-99
Exploring the Use of AI and Industry 4.0 in Malting: A Case Study of an Extract AI Prediction Project
Yin Li. Department of Data Science, Research and Innovation, Malteurop North America, Milwaukee, WI, USA
MBAA TQ vol. 60, no. 4, 2023, pp. 100-106
AI-Driven Anomaly Detection in Brewing for Enhanced Quality and Efficiency
Ed Montgomery and Eric Cohen. Siemens Digital Industries USA, Plano, TX, USA
MBAA TQ vol. 60, no. 4, 2023, pp. 107-111
Fermentation Meets Computation: Exploring Generative AI in Breweries
Trent Leslie. MoonShot Solutions LLC, Cincinnati, OH, USA
MBAA TQ vol. 60, no. 4, 2023, pp. 112-115
Utilizing Cellpose 2.0, an Open-Source Deep Neural Network, for Yeast Cell Counting
Austin Patterson. Quality Manager, Pryes Brewing Co., Minneapolis, MN, USA
MBAA TQ vol. 60, no. 4, 2023, pp. 116-119
Leveraging AI/ML-Driven APC for Optimizing Beer Filtration: A Data-Driven Approach
Ian Weller. Analytics Project Manager, ITG Technologies, Jacksonville, FL, USA
MBAA TQ vol. 60, no. 4, 2023, pp. 120-122
Data Analytics Approaches
Travis Audet. Slant Six Consulting LLC, Hooksett, NH, USA
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