New case study: building an open data platform for salmon farming

Developing an open data platform for fish farmers accessible via a user-friendly dashboard

The salmon industry is increasingly adopting advanced sensing and imaging technologies to improve efficiency and sustainability. These systems often operate in isolation, creating data silos that can limit their full potential. This project set out to develop an open data platform capable of integrating multiple data sources into a single, user-friendly dashboard, with the aim of accelerating digital transformation in aquaculture.

Valued at over £950k. the project partners were Uhuru United Ltd (specialists in IoT and data analytics), SBTelecom Europe, Signify, Optoscale, Loch Duart, and SAIC. The project was funded by European Institute of Innovation and Technology (EIT) and SAIC.

The initial focus was on feed efficiency, as feed accounts for up to 75% of production costs. The platform integrates biomass data from Optoscale’s AI-enabled cameras and lighting data from Signify’s underwater LED systems, alongside other site-specific inputs such as weather, feeding barges, and treatment equipment. This creates a centralised hub for visualising and analysing data, helping farmers optimise feeding strategies and reduce waste.

A prototype dashboard was developed to demonstrate the value of combining previously disconnected data streams. It allows users to compare live data against key performance indicators and even suggests corrective actions based on predefined relationships. Pilot testing at a Loch Duart farm validated the integration of sensors and provided insights into lighting optimisation and biomass monitoring.

Beyond technical development, the project established a business model, marketing strategy, and supporting materials for future commercialisation. While full uptake was not achieved within the project timeline, the groundwork was laid for a scalable solution that could transform aquaculture management.

Future developments may include estimating fish populations, detecting disease indicators, and refining feeding models.

The full title of this project is ‘Aquaculture Insights: open data platform for salmon aquaculture’.

Read the case study