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Food Fraud Prediction Dashboard

This dashboard shows the output of our food fraud prediction model, which predicts the most likely type of food fraud for each case [1]. The food fraud model is a holistic model developed with Bayesian Networks. It was trained on data from 2008 until 2015. The model includes 24 different indicators and food fraud cases retrieved from RASFF (Rapid Alert System for Food and Feed). In the dashboard, users are provided with the probability of different food fraud types per food product category, origin country and control country. The related information of the indicators in origin country and control country is presented in the dashboard as well. The dashboard offers an overview of the predicted food fraud types over products and countries, and can help authorities and the industrials to design models that can aid monitoring and control measures to prevent food fraud issues.

1. Marvin, H. J., Bouzembrak, Y., Janssen, E. M., van der Fels-Klerx, H. V., van Asselt, E. D., & Kleter, G. A. (2016). A holistic approach to food safety risks: Food fraud as an example. Food research international, 89, 463-470.


DISCLAIMER: The information on this portal is true and complete to the best of our knowledge. For some systems like RASFF there may occur small differences; for example between EU commissions RASFF and WFSRs RASFF system due to differences in update timings of their internal respective databases. The authors and publishers disclaim any liability in connection with the use of this information