Systematic review investigates AI for food fraud detection, highlighting the gap in prevention strategies.
This protocol describes the methodology for a systematic review investigating artificial intelligence applications for food fraud detection and the gap between laboratory detection and real-world prevention. The review follows PRISMA 2020 guidelines and includes predefined eligibility criteria, search strategy, data extraction procedures, risk-of-bias assessment, and statistical analyses.
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Quelal et al. (2026) studied this question.
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