Access to EFRA Prediction AI Models Through the EFRA Powerhouse

The EFRA Platform now provides unified access to its suite of prediction AI models through the EFRA Analytics Powerhouse, the secure, highperformance environment where EFRA models are executed and validated. The Powerhouse is freely accessible at https://www.efraplatform.eu/powerhouse/, and once authenticated, users can execute EFRA AI models free of charge within this environment.

To ensure transparent and controlled access, the EFRA Data & Analytics Marketplace serves as the central entry point for discovering and requesting access to all EFRA AI models. Users must first register in the Marketplace to view the full AI Model Catalogue and explore the models developed by EFRA partners and international research teams. After registration, users can submit access requests directly through the Marketplace at https://eframarketplace.agroknow.com/models, enabling secure activation of model access. Once approved, users can run the models through the EFRA Powerhouse at no cost.

The EFRA AI Model Catalogue includes a diverse range of models supporting both the EFRA decisionsupport dashboards and the broader EFRA platform components. These models cover foodrisk detection, mycotoxin prediction, climatedriven pest behaviour, regulatory intelligence, information retrieval, and extremeevent forecasting.

AI Models Supporting EFRA DecisionSupport Tools

These models directly power the EFRA dashboards and predictive tools used in the project’s Use Cases:

  • Clustering Risk Assessment in Poultry Farming 
  • Mycotoxins Concentration Model for Poultry Feed 
  • TimeSeries Model for Mycotoxin Risk in Animal Feed for Poultry Farming 
  • Modelling Shifting Insect Pests Behaviour and Disease under Climate Change 

These models support EFRA’s predictive dashboards for poultry risk, mycotoxin forecasting, and climatedriven pest behaviour.

AI Models Supporting EFRA Platform Components

These models enhance the EFRA Platform’s analytical capabilities, including information extraction, retrieval, and regulatory intelligence:

  • Food Safety Information Extraction through LLM 
  • Green Summarization of Regulatory Text Data 
  • Effective Information Retrieval for HumanMachine Interactions 

Additional platformrelated models are available through the EFRA Powerhouse.  

Users can explore the full list by visiting:

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