Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| 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 |