AI-Driven Food Fraud Detection Systems: A Critical Systematic Review of the Detection–Prevention Gap
The economic impact of food fraud is difficult to quantify precisely, because fraud is structurally designed to evade detection; available estimates are indirect projections rather than direct forensic accounting and are commonly cited in the range of USD 10–15 billion annually. The integration of artificial intelligen...