Artificial Intelligence and Numerical Simulation in Food Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Food Science and Technology".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 67
Special Issue Editors
Interests: food engineering; artificial intelligence; numerical simulation
Special Issues, Collections and Topics in MDPI journals
Interests: advanced process control; sustainable food processing; Industry 4.0; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: energy saving and process analysis; cold storage room; automated systems of storage and packing; computer application in all agricultural activities and food processing; post-harvest and storage technology; packaging systems; food loss
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of Artificial Intelligence (AI) and numerical simulation is revolutionizing food engineering, enabling innovative solutions in process optimization, quality control, and supply chain management. AI-based methods such as machine learning, deep learning, and computer vision enable predictive modeling and real-time decision-making with improved efficiency and product uniformity. Also, numerical simulations, from FEA to CFD, enable accurate analysis of thermal, mechanical, and biochemical processes in food processing. This Special Issue is devoted to documenting state-of-the-art research at the intersection of AI and numerical simulation in food engineering for automating, optimizing, and making more sustainable food processing. We invite submissions that report new applications, theoretical developments, and industrial case studies illustrating the potential of these technologies in transforming the food industry.
We are writing to invite you to make a contribution to the Special Issue titled "Artificial Intelligence and Numerical Simulation in Food Engineering". The issue aims to cover the latest advances in AI-driven modeling, machine learning techniques, and numerical simulation techniques such as computational fluid dynamics (CFD) and finite element analysis (FEA) in food processing and quality control. Original research articles, reviews, and case studies that report innovative solutions for automation, optimization, and sustainability in food engineering are invited. Your research experience in this field would be a valuable addition to the issue, and I would like to invite you to submit your research or collaborate with other researchers.
Dr. Mahdi Rashvand
Dr. Hongwei Zhang
Dr. Francesco Genovese
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- smart sensors
- digital twins
- sustainability
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