AI-Driven Food Fraud Detection Systems: A Critical Systematic Review of the Detection–Prevention Gap

Orlando Meneses Quelal, David Pilamunga Hurtado, Marco Burbano Pulles

Open source

DOI: 10.3390/foods15183185
Published: 2026-09-09
Container: Foods
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/foods15183185,
  title = {AI-Driven Food Fraud Detection Systems: A Critical Systematic Review of the Detection–Prevention Gap},
  author = {Orlando Meneses Quelal and David Pilamunga Hurtado and Marco Burbano Pulles},
  year = {2026},
  journal = {Foods},
  doi = {10.3390/foods15183185},
  url = {https://doi.org/10.3390/foods15183185}
}

RIS

TY  - JOUR
TI  - AI-Driven Food Fraud Detection Systems: A Critical Systematic Review of the Detection–Prevention Gap
AU  - Orlando Meneses Quelal
AU  - David Pilamunga Hurtado
AU  - Marco Burbano Pulles
PY  - 2026
JO  - Foods
DO  - 10.3390/foods15183185
UR  - https://doi.org/10.3390/foods15183185
ER  -

APA

Quelal, O. M., Hurtado, D. P., & Pulles, M. B. (2026). AI-Driven Food Fraud Detection Systems: A Critical Systematic Review of the Detection–Prevention Gap. Foods. https://doi.org/10.3390/foods15183185

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crossref · retrieved 2026-09-26T18:51:25.567Z