The review examines how artificial intelligence can support the safety control of meat, milk, eggs and seafood. The most promising applications include camera-based prescreening in slaughterhouses and processing plants, continuous cold-chain monitoring, improved product traceability and recall management, and the development of digital HACCP systems.
One of the paper’s central messages is that high algorithmic accuracy alone is not sufficient. Reliable industrial and regulatory use also requires validation under realistic operating conditions, transparent and auditable processes, clearly defined responsibilities and continuous human oversight.
Rather than replacing established food-safety controls, AI can make them faster, more consistent and easier to document.
Title of the study: Artificial Intelligence in Postharvest Food Safety Control of Animal-Source Foods: Evidence Thresholds, Validation, and Regulatory Applicability
The full article is available at: https://www.mdpi.com/2306-7381/13/6/574
András Tóth, PhD
