Artificial Intelligence and Modeling Science in the Food Industry
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Engineering and Technology".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 1810
Special Issue Editors
Interests: agricultural engineering; food engineering; mechanical equipment; intelligent technology; model; information perception; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent equipment; food crops; agricultural engineering; discrete element simulation; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: food quality; food security; simulation models; health foods; big data; machine learning; artificial intelligence; mathematical models; nutrition and health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, artificial intelligence (AI) and modeling science have emerged as transformative tools in the food industry, revolutionizing processes from production to consumption. With the growing demand for sustainable food systems, enhanced quality control, and personalized nutrition, data-driven technologies such as machine learning, deep learning, predictive modeling, and computer vision are becoming increasingly utilized to address complex challenges, including optimizing supply chains, improving food safety, and innovating product development. However, gaps remain in integrating these advanced technologies into practical food science applications, particularly in translating theoretical models to real-world scenarios and standardizing data collection across diverse food matrices.
This Special Issue aims to showcase cutting-edge research that bridges AI, modeling science, and food science, fostering interdisciplinary dialogue to advance this field. Key objectives include the following:
- Showcasing AI-driven solutions for food quality assessment, safety monitoring, and process optimization.
- Exploring modeling approaches for predicting food properties, flavor profiles, and nutritional outcomes.
- Promoting sustainable food systems through AI-enhanced resource efficiency and waste reduction.
- Encouraging cross-disciplinary collaborations between food scientists, data scientists, and engineers.
Dr. Changsu Xu
Dr. Han Tang
Dr. Yamine Bouzembrak
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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. Foods is an international peer-reviewed open access semimonthly 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 2900 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
- artificial intelligence (AI)
- machine learning (ML)
- predictive modeling
- food quality and safety
- 3D food printing
- computer vision
- big data
- simulation analysis
- deep learning
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