VALENCIA, July 14 (EUROPA PRESS) –
Ainia developed the ‘Globalsafefood’ project to create a digital library of data to increase food safety and fight against fraud.
It is a data lake capable of merging internal company information, such as laboratory analytics or process control sensors, with external information, such as alerts and food safety events.
How to take advantage of the “data pantries” of food companies to achieve greater food safety is the main objective of this “data lake”, achieved thanks to the use of innovative technologies such as “Pipelines and Data Flows” for the intake of data or Neo4j to represent and exploit information through graphs, provides solid foundations for the development of future food safety services that allow companies to anticipate potential risks that may affect their products, helping them to make profitable the data that up to now they have been storing
Among the results obtained in this project, supported by IVACE and FEDER funds, two application prototypes have been developed for the early detection of potential risks for different products, as well as for the assessment of their vulnerability to food fraud attempts.
According to Ainia, these applications can help food companies in two ways: guide food safety controls on their products based on events detected in their destination markets, and guide the selection and control of their raw materials based on events. detected at their origins.
Currently, with the global trend towards digitization of processes, food companies have an increasing amount of data stored in their “pantry”, however, it is not always recovered to make it profitable. On the other hand, although there are already very effective methodologies for managing food safety, they are not 100% effective and cases of contamination, fraud, etc. continue to appear. that reach the consumer.
On the other hand, by analyzing the history of food safety alerts and non-conformities, it is possible to identify food risk situations that began without being apparently very relevant, and that ended up affecting the supply chain. However, a good analysis at the right time could have partly mitigated these effects, notifying an anomalous trend in the amount and type of non-conformities of a certain raw material with a specific origin.
The objective of this project is to build new digital applications for control and management of food safety risk and vulnerability against food fraud.
