Objective
The main objective of the project is to create a data infrastructure or data lake capable of bringing together, in an integrated and connected way, all internal and external information sources of the agri-food production company, with the aim of building new digital applications for the control and management of food safety risk and vulnerability to food fraud. The areas of action of these applications will be as follows:
- Hazard Analysis and Critical Control Points
- Laboratory information
- Food safety risk assessment
- Fraud risk assessment for product categories
- Emerging risks
Activities
- Analysis of sectoral needs in integrated food safety management
- Information sources and relational model of food safety entities
- Technological architecture of the GLOBALSAFEFOOD Hub
- Design and implementation of the food safety data lake
- Development of advanced system algorithms
- Prototype of user applications
- Dissemination and communication of project results
- Transfer of project results
- Project management
Dissemination/Transfer
- Poster
- Press releases
- AINIA will develop 12 R&D projects in 2023
- AINIA will develop new mass data analysis techniques to enhance food safety
- AINIA studies how to improve the efficacy of cosmetics through active microcapsules with controlled release
Outreach articles
- New mass food safety data analysis techniques based on artificial intelligence
- The “data pantries” of food companies: how to leverage them for greater food safety
News for AINIA Network companies
- A total of 24 AINIA Network companies will participate in 12 R&D projects in 2023
- Sixteen AINIA Network companies participate in 6 R&D projects
Internal dissemination
- The 12 ERDF projects submitted to IVACE have been approved
- We have submitted 12 proposals to the IVACE-ERDF 2022 call for grants
- We share the results of 6 IVACE ERDF projects
Media dissemination
Video and photos
