Advancing Shellfish Safety Through Intelligent Forecasting
The MATISSE project is committed to protecting public health, supporting sustainable shellfish production, and empowering decision-makers with data-driven insights powered by artificial intelligence.
About the Project
The MATISSE project (launched in 2020) aims to build a forecasting system powered by machine learning to predict contamination in shellfish, ensuring seafood safety and supporting the economic resilience of coastal communities.
Shellfish can accumulate contaminants that pose risks to human health, particularly toxins from harmful algal blooms (HABs). Current monitoring frameworks are reactive, often resulting in delayed responses and costly closures. MATISSE introduces a proactive strategy, using large datasets, including satellite imagery and historical survey data, to predict contamination events before they occur.
By leveraging artificial intelligence and time-series data analysis, the project is developing tools that can inform real-time decision making and help protect public health, the economy, and coastal ecosystems.
Objectives
MATISSE focuses on two primary goals
Support to the Shellfish Production Sector
Predict shellfish contamination by marine toxins and fecal matter, helping producers anticipate closures and mitigate the effects of sudden harvesting bans.
Enhance the environmental understanding of shellfish production areas and provide tools for more efficient management, licensing and sustainable use of the coastal zone.
Support to Public Administration
Our Partners
