Using Artificial Intelligence and Big Data Analytics to Improve Food Safety
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 395
Special Issue Editors
Interests: food safety big data; intelligent traceability of agricultural products; intelligent information processing; machine learning
Interests: food safety big data; intelligent traceability of agricultural products; intelligent information processing; machine learning
Special Issue Information
Dear Colleagues,
Ensuring food safety is a critical global challenge that impacts public health and economic stability. With increasingly complex food supply chains, traditional monitoring methods often struggle to prevent contamination and ensure compliance. The emergence of artificial intelligence (AI) and big data analytics offers transformative solutions, enabling real-time monitoring, predictive risk assessment, and enhanced traceability. These technologies are revolutionizing food safety management by improving efficiency and reducing hazards.
We invite you to contribute to the Special Issue "Using Artificial Intelligence and Big Data Analytics to Improve Food Safety". This Special Issue explores innovative applications of AI and big data for addressing food safety risks. We seek contributions that demonstrate how computational techniques can enhance pathogen detection, optimize supply chains, and improve regulatory compliance. This goal aligns with the journal’s mission of advancing food safety research and technological innovation.
In this Special Issue, we welcome original research articles and reviews. Topics of interest include, but are not limited to, the following:
- AI-driven models for foodborne pathogen detection;
- Big data analytics for supply chain traceability;
- Machine learning approaches for contamination control;
- IoT-based AI solutions for real-time food safety monitoring;
- Risk assessment and regulatory compliance models.
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 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. 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
- big data analytics
- food safety
- machine learning
- foodborne pathogens
- supply chain traceability
- contamination detection
- IoT in food safety
- risk assessment
- food quality monitoring
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