Enhancing Food Safety through Artificial Intelligence: Innovations, Challenges, and Opportunities
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Quality and Safety".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 47
Special Issue Editors
Interests: food safety; food analysis and quality control; food hazardous control; chemometrics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of enhancing food safety through artificial intelligence (AI) is rapidly evolving. AI can analyze historical data to predict potential outbreaks of foodborne diseases, enabling the implementation of preventive measures. Moreover, AI technologies, including deep learning algorithms, can be trained to recognize patterns and anomalies in food safety data, enhancing contaminant detection and control. AI can also be used to predict the behavior of food-related microorganisms under various distribution and storage conditions, assessing their risk. However, challenges and opportunities coexist in using AI technology in the food industry. In addition, the real-time performance, applicability, and generalization capabilities of AI algorithms need to be continuously improved to ensure food quality and safety. With the development of hardware equipment, rapid online non-destructive testing can be achieved, better addressing various food safety challenges.
Dr. Zhanming Li
Dr. Xuejin Mao
Guest Editors
Manuscript Submission Information
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Keywords
- chemometrics and deep learning
- spectroscopy technology and modeling
- food adulteration
- artificial intelligence technology
- food fermentation and metabonomics
- food safety and quality control
- chromatography–mass spectrometry technology
- nuclear magnetic resonance
- risk assessment and management
- microbial modeling
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