A Bayesian Approach to Predict Food Fraud Type and Point of Adulteration

Primary and secondary food processing had been identified as areas vulnerable to fraud. Besides the food processing area, other stages within the food supply chain are also vulnerable to fraud. This study aims to develop a Bayesian network (BN) model to predict food fraud type and point of adulterat...

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Detalles Bibliográficos
Autores principales: Soon, Jan Mei, Abdul Wahab, Ikarastika Rahayu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834205/
https://www.ncbi.nlm.nih.gov/pubmed/35159479
http://dx.doi.org/10.3390/foods11030328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834205/
https://www.ncbi.nlm.nih.gov/pubmed/35159479
http://dx.doi.org/10.3390/foods11030328

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