AGINFRA PLUS · Project

Data Analytics Platform That Connects Food Safety, Climate, and Agriculture Insights

foodTestedTRL 5

plus.aginfra.eu

Imagine you run a food company and need to combine weather data, crop reports, safety alerts, and economic forecasts — but they all live in different databases that don't talk to each other. AGINFRA PLUS built a set of digital tools that pull all these scattered data sources together, let you run analyses on them, and show results in clear visual dashboards. Think of it as a universal translator and workbench for agricultural and food data, built on top of existing European research infrastructure.

By the numbers

technology deliverables produced

consortium partners across 6 countries

EUR 2,837,375

EU research investment

demonstrated use case workflows

SMEs in the consortium including the coordinator

The business problem

What needed solving

Food and agriculture companies drown in scattered data — weather patterns in one system, safety alerts in another, market prices in a third — with no easy way to combine them for decision-making. Running a risk assessment or climate impact analysis means manually pulling data from incompatible sources, which is slow, error-prone, and keeps valuable insights locked away.

The solution

What was built

The project built a suite of data analytics tools including: heterogeneous data fusion for combining different data types, big data analysis and visualization dashboards, scientific workflow engines for automated food safety risk assessment (integrated with FoodRisk-Labs), agro-climatic and economic modelling pipelines, data linking tools, and ontological engineering components — totaling 26 deliverables across 9 demonstrated workflows.

Audience

Who needs this

Food safety laboratories running multi-source risk assessmentsAgTech startups building data-driven farming advisory servicesAgricultural research institutes needing scalable data infrastructureFood industry R&D departments analyzing climate impact on supply chainsGovernment food safety agencies consolidating monitoring data

Business applications

Who can put this to work

Food Safety & Quality Assurance

mid-size

Target: Food testing laboratories and food safety consultancies

If you are a food safety lab dealing with fragmented risk data from multiple sources — this project developed scientific workflow tools integrated with FoodRisk-Labs that combine hazard data, exposure models, and safety thresholds into automated risk assessment pipelines. The platform was built across 8 partners in 6 countries and delivered 26 components including dedicated food safety workflow generation.

Agricultural Technology

SME

Target: AgTech companies building precision farming or climate-smart agriculture tools

If you are an AgTech company struggling to merge climate models with crop yield data and economic forecasts — this project built heterogeneous data fusion and agro-climatic modelling workflows that combine these different data types into unified analyses. The tools were designed for fast prototyping of data-intensive applications and delivered as open science technologies.

Food Supply Chain Analytics

enterprise

Target: Large food retailers or supply chain management firms

If you are a supply chain company needing to visualize and analyze big data across your food sourcing network — this project delivered big data analysis and visualization components purpose-built for the food sector. The data linking and ontological engineering tools can map relationships across suppliers, regions, and product categories from previously incompatible datasets.

Frequently asked

Quick answers

What would it cost to adopt these tools?

The platform was developed as open science technology with EUR 2,837,375 in EU funding across 8 partners. The tools build on existing open e-infrastructure (OpenAIRE, EGI, EUDAT, D4Science), which suggests low licensing barriers. Specific commercial pricing would need to be discussed with Agroknow, the coordinating SME.

Can these tools handle industrial-scale data volumes?

The project specifically addressed data- and computing-intensive applications, with dedicated big data analysis and visualization components. It was built on top of EGI and EUDAT cloud infrastructure designed for large-scale scientific computing. However, production-level throughput benchmarks are not available in the project data.

What is the IP and licensing situation?

The deliverables are described as 'Open Science' technologies, which suggests open-source or open-access licensing for core components. The coordinator Agroknow is a commercial SME, so some value-added services may carry separate licensing. Contact the coordinator for specific IP terms.

Does this work with our existing data systems?

The platform was specifically designed to integrate with heterogeneous data sources — the data linking and data fusion components handle different formats and standards. It connects to established European e-infrastructures including OpenAIRE, EGI, EUDAT, and D4Science, suggesting standards-based interoperability.

Is there regulatory alignment for food safety use?

The project built dedicated food safety risk assessment workflows integrated with FoodRisk-Labs, which is an established platform in the food safety domain. The EuroSciVoc classification includes food safety explicitly. Specific regulatory certifications are not mentioned in the project data.

What ongoing support is available?

The project ran from 2017 to 2019 and is now closed. However, the coordinator Agroknow is an active SME that continues to operate in the agricultural data space. The underlying AGINFRA infrastructure originated in FP7 and has been maintained by key organizations including FAO and Wageningen UR.

Consortium

Who built it

The 8-partner consortium spans 6 European countries (Bulgaria, Germany, Greece, France, Italy, Netherlands) with a research-heavy composition: 4 research organizations, 1 university, 2 industry players, and 1 other. The 25% industry ratio is modest, but notably the coordinator Agroknow is itself a Greek SME specializing in agricultural data — meaning commercial thinking drove the project direction. The involvement of 2 SMEs signals some market orientation. Key research partners likely include INRA (France) and Wageningen UR (Netherlands), both world-class agricultural research institutions mentioned in the objective. For a business considering these tools, the consortium's strength is deep domain expertise in food and agriculture data, though the limited industry participation means adoption pathways may need further development.

AGROKNOW IKECoordinator · EL
BUNDESINSTITUT FUER RISIKOBEWERTUNGparticipant · DE
STICHTING EGIparticipant · NL
ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINONparticipant · EL
CONSIGLIO NAZIONALE DELLE RICERCHEparticipant · IT
PENSOFT PUBLISHERSparticipant · BG
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENTparticipant · FR
STICHTING WAGENINGEN RESEARCHparticipant · NL

How to reach the team

Agroknow IKE is a Greek SME — search for their team on LinkedIn or their company website for current contacts.

Order a report on this consortium See AGROKNOW IKE profile →

Next steps

Talk to the team behind this work.

Want a tailored brief on how AGINFRA PLUS tools could fit your food data analytics needs? SciTransfer can arrange a direct introduction to the development team.

Order a report on this topic More in Food & Agriculture