Advances in Information Technology and Artificial Intelligence for Food Safety Systems
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 898
Editors
Interests: artificial intelligence-driven food safety early warning and risk analysis; multi-modal data fusion and intelligent sensing technologies; collaborative application of blockchain, IoT, and edge computing in food traceability; distributed ledger technology (DLT) and food supply chain data security; smart contracts in automated regulation and quality assessment; digital twin and transparent management of food supply chains
Interests: agricultural product labeling and traceability
Interests: machine learning; food contact materials
Special Issue Information
Dear Colleagues,
In recent years, global food supply chains have become increasingly networked, complex, and cross-domain. Issues such as data silos, information opacity, and a lack of trust among multiple stakeholders remain critical bottlenecks restricting the advancement of food safety management. At the same time, the rapid development of information technologies—particularly the deep integration of artificial intelligence, the Internet of Things, blockchain, and edge computing—is providing unprecedented technical support for building a new generation of food safety management systems.
Artificial intelligence is reshaping the ways in which food safety is monitored, warned, and decided upon. From deep learning-based contaminant identification to multi-modal data fusion analysis, AI technologies are making food quality assessment more accurate and efficient. Cutting-edge technologies represented by large language models and multi-modal large models further expand the potential applications of AI in scenarios such as intelligent regulatory compliance analysis and cross-modal information fusion. Meanwhile, the Internet of Things enables full-process data collection from "farm to fork," while blockchain, through its decentralized and tamper-proof trust mechanisms, ensures data authenticity and traceability. When these technologies work in synergy, they not only enable transparent management throughout the food lifecycle but also promote automated and intelligent regulatory processes through smart contracts.
This Special Issue aims to explore the frontiers and innovative applications of information technology and artificial intelligence in food safety systems. We invite the submission of original research papers and review articles. Topics of interest include, but are not limited to, the following: AI-driven food safety early warning, multi-modal data fusion, exploration of large language models and multi-modal large models, collaborative blockchain-IoT traceability, smart contract applications, data security architectures based on distributed ledger technology, and digital twin-enabled supply chain transparency.
We look forward to your valuable contributions to fostering the deep integration of information technology and artificial intelligence in modern food science.
Prof. Dr. Xin Zhang
Prof. Dr. Chuanheng Sun
Dr. Ying Sun
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-anonymized 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
- food safety systems
- blockchain technology
- internet of things, IoT
- large language models, LLMs
- multimodal large models
- smart contracts
- distributed ledger technology, DLT
- data security and privacy
- supply chain transparency
- digital twin
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
