Eide Fjordbruk moves fish feeding from hindsight to real-time decisions

The goal

Improve fish feeding by combining data with human knowledge

Feeding is one of the most important tasks in fish farming. Feed is increasingly expensive, and as sites get bigger it is harder to optimize growth and minimize waste. Fish appetite is also a vital early indicator of changes in fish health or the environment.

Feeding might sound straightforward, but it is a complex optimization problem combining biology, fish behavior, environmental effects, company strategy and economical KPIs. Streaming data helps people understand it; human expertise is needed to choose the right feeding strategy for every site.

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The challenge

Integrating siloed data sources and making human insight available for feeding teams in real-time

Valuable data is already generated by various systems, but it exists in silos (not feed silos) and in different formats. That makes analysis time consuming, and it is too hard to monitor operations live, learn from history and predict the future.

Feeding is a team effort, and experienced personnel hold insight that is crucial to feeding efficiently. That insight is often lost in meetings, phone calls and endless e-mail threads.

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The solution

Clarify makes data available for everyone and improves day-to-day collaboration in timelines

Clarify gathers data from all relevant sources into one interface, always available on mobile and web: feeding control systems, weather and oceanographic sensors, and biological and economical data from enterprise systems.

The timeline visualization combines historical data, real-time data and forecasts. With live process data next to economical predictions and feeding plans, everyone can see if goals are met or not.

People then discuss why, and which actions are needed. Is it faulty equipment or a change in fish behavior? A sensor can't capture that, but a domain expert can add the context. Knowledge grows throughout the organization, onsite and remote.

"With Clarify we can monitor all the data in real-time, learn from the past and predict the future. And at the same time share experience and perspectives on what strategy to choose to improve day-by-day." — NEEDS NAME AND ROLE

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The results

Better collaboration around feeding operations

• Increased collaboration and knowledge sharing around live data. Data and insight in one place help feeding teams move from report-driven hindsight to real-time decisions and foresight.
• A lower threshold for using data. Easy overview, all the time, for everyone involved gives increased transparency and ownership of operations.
• Live benchmarking of sites and cages. Easy access to live data makes it easier to detect deviations earlier and take mitigating action.