Prediction of Anchovy and Sardine Bank Distribution

Objective
To anticipate seasonal distribution patterns of anchovy and sardine stocks in order to improve planning and resource allocation in fisheries.

How it works
The solution processes historical marine, environmental and catch data to train predictive models capable of identifying spatial and temporal distribution patterns. Outputs are presented as probability-based forecasts and visual maps that support operational decisions.

Core digital services
We provide data ingestion, structuring and modelling infrastructure to process heterogeneous marine datasets. Our expertise includes time-series analysis, geospatial modelling and predictive analytics, transforming complex historical data into operational forecasting tools.

How they apply to the agrifood sector
In fisheries and seafood supply chains, uncertainty in stock distribution affects operational efficiency and sustainability. By leveraging existing data sources, stakeholders can improve planning accuracy without requiring new hardware or sensor deployments.

Type of agrifood partner sought
We are seeking fisheries organisations, producer associations, seafood supply-chain operators or public bodies that collect historical marine and catch data and wish to improve forecasting and planning capabilities.