GLOBALSAFEFOOD II

New techniques for massive food safety data analysis based on artificial intelligence techniques II
1 July, 2023

Objective

The main objective of the GLOBALSAFEFOOD II project is to create a data infrastructure or data lake capable of bringing together, in an integrated and interrelated way, all internal and external sources of information for agri-food production companies, with the aim of building new digital applications for controlling and managing food safety risk and vulnerability to food fraud.

 

Activities

  1. Design and implementation of the food safety data lake
  2. Development of the system’s advanced algorithms
  3. Dissemination and communication of the project results
  4. Transfer of the project results

 

Activities

Data infrastructure for food safety: the project has enabled the development of an advanced data lake that integrates internal and external information related to food safety, facilitating joint analysis and its use in decision-making processes.

  • Risk analysis and food fraud: algorithms and prototypes have been developed to identify microbiological risks, critical control points and potential food fraud based on production and analytical data, as well as public sources.
  • Digital management support tools: an application prototype has been implemented that integrates laboratory information and external alerts, helping companies to assess food safety risks in a more structured and anticipatory way.
  • Validation and transfer to the sector: the results have been tested in validation environments with companies from the agri-food sector, confirming the practical usefulness of the solutions developed and their potential application in real-world contexts.

 

Dissemination/Transfer

Press releases

Outreach articles

Internal communication

Video

 

 

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