Applications of Computer Science and AI to Fermented Foods and Beverages
A special issue of Fermentation (ISSN 2311-5637). This special issue belongs to the section "Fermentation Process Design".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 412
Special Issue Editor
Interests: wine informatics; data science; natural language processing; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of computer science and artificial intelligence (AI) is now in nearly every area of life. As one of the fastest-growing research fields of the 21st century, computer science and AI have advanced significantly, driven by the vast amounts of data available from research and the Internet.
Fermentation is a traditional metabolic process that humans have used for thousands of years to create various foods and beverages. Biochemically, fermentation involves using microorganisms like yeast to convert carbohydrates into alcohols or acids, producing a range of flavor compounds. These compounds are essential to fermented products such as wine, beer, yogurt, miso, kimchi, and more. To enhance the aroma and flavor of these products, extensive experimentation with different recipes and components is necessary. Additionally, understanding the final fermented products often requires evaluating their physicochemical and sensory characteristics from various sources. These research activities generate data in multiple formats, including numerical, categorical, machine-readable, and natural language. Applying computer science and AI to these diverse datasets has significant potential to uncover new insights and hidden knowledge in fermented products.
This Special Issue invites reviews and original research articles exploring the application of computer science and AI to fermented foods and beverages. We seek contributions that showcase how relevant techniques and algorithms can be leveraged to extract valuable information, improve product quality, and advance our understanding of fermentation processes through computer science and AI.
Dr. Bernard Chen
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fermentation is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- fermented food and beverages
- wine
- beer
- aroma and flavor
- AI
- data science
- machine learning
- deep learning
- natural language processing
- wine informatics
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