Risk predictions for poultry pathogens
EFRA will monitor and predict the presence of the most usual pathogens in poultry farms. Lab test and environmental data coming directly from farm sensors, will be combined with publicly available data sources, related to poultry industry (such as incidents for products and inspection results). Leveraging these, this use-case will deploy and train appropriate AI models for poultry pathogen predictions.
AI models for
AI models for
optimal pesticide use
Food-safety and Optimal Pesticide Use
Although the farm pesticides must satisfy specific EU requirements, farmers need assistance for the optimal (instead of maximum-allowed) use of pesticides, when it comes to food safety. In this use case the focus will be in 3 EU countries: Poland, Romania and Croatia. By leveraging both aggregated data from at-the-farm sensors and publicly available data sources, we will deploy and train AI models, for optimal pesticide use recommendations.
Informing Regulatory Decisions with Food Risk Intelligence
To identify potential emerging food safety risks, EFRA will use extensive set of regulatory data and mining algorithms, while different individuals, companies and organisations (such as food companies and food safety authorities) will upload relevant data using the EFRA tools. By using a unique approach all these heterogenous data sources will be combined, enhancing the introduction of food safety regulations, with significantly low computational and energy waste.