Using Artificial Intelligence and Big Data Analytics for Food Flavor Perception, Quality Evaluation, and Safety Management
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Engineering and Technology".
Deadline for manuscript submissions: 10 November 2026 | Viewed by 39
Special Issue Editors
2. National Engineering Research Center for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China
Interests: food quality evaluation; food flavor assessment; food quality monitoring; food sensory evaluation
Special Issues, Collections and Topics in MDPI journals
Interests: food quality evaluation; food flavor assessment; food quality monitoring; food sensory evaluation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increasing complexity of food supply chains and the growing consumer demand for better food quality, safety, and sensory experience, traditional methods for food quality evaluation and quality monitoring face new challenges in terms of real-time performance, accuracy, and intelligence. In recent years, the rapid development of artificial intelligence (AI), machine learning, big data analytics, intelligent sensing, and the Internet of Things (IoT) has provided innovative solutions for food quality evaluation, flavor perception, quality monitoring, and supply chain management. These technologies enable the identification of food quality characteristics, analysis of flavor information, prediction of sensory attributes, and full-process monitoring and traceability of food quality and safety, thereby driving the food industry toward digitalization and intelligent development.
We invite you to contribute to the Special Issue “Using Artificial Intelligence and Big Data Analytics for Food Flavor Perception, Quality Evaluation, and Safety Management”. This Special Issue focuses on the innovative applications of artificial intelligence and intelligent information processing technologies in food quality evaluation, flavor assessment, sensory analysis, quality monitoring, and food supply chain management. We welcome contributions that demonstrate how intelligent algorithms, data analytics, and smart sensing technologies can improve the efficiency of food quality analysis, optimize quality control, and strengthen food quality and safety traceability.
In this Special Issue, we welcome original research articles and reviews. Topics of interest include, but are not limited to, the following:
- AI-based food flavor analysis and flavor perception;
- Food quality evaluation and intelligent grading technologies;
- Food sensory evaluation and multimodal data fusion analysis;
- Food supply chain management and food quality and safety traceability;
- Food quality monitoring and intelligent early warning technologies;
- Intelligent sensing and IoT-based food quality detection technologies.
Prof. Dr. Min Zuo
Dr. Qingchuan Zhang
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
- deep learning
- food quality evaluation
- food flavor assessment
- food sensory evaluation
- food quality monitoring
- food supply chain management
- food safety traceability
- intelligent sensing
- Internet of Things
- machine learning
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