Algae Risk Monitoring
AI-based early warning for harmful algae risks at fish farms.
Not just an alert, but a clear action plan for each site and each pen.
Algae Risk Monitoring combines water data, weather data, lab results, and farm operational metrics to show in advance where and when risk is rising and what to do in the next few hours.
Problem
Why the current approach is not fast enough
When algae risk rises, decisions are often made under pressure and with fragmented data. Teams have to manually gather signals from different sources, align context, and coordinate actions across biology, operations, and management. This slows response and increases the chance of losses.
What usually happens:
- Signals appear in different systems at different times.
- Risk is detected late, when the window for softer actions is already narrow.
- There is no single decision trail explaining why a specific decision was made.
- After an incident, it is hard to run a strong review and improve the process.
Solution
Algae Risk Monitoring turns data into decisions
Algae Risk Monitoring integrates with your existing enterprise monitoring system and strengthens current workflows without a full infrastructure replacement.
The platform provides:
- Risk forecasts for each site and pen 24-48 hours ahead.
- Clear explanations of which factors increased risk right now.
- Playbook-based actions: what to do now, what to prepare, and what to monitor.
- A complete decision log for internal control and audits.
Team outcomes:
- Faster response at the early stage.
- Less noise and fewer false alarms.
- A shared operating language between biology and operations.
- A controlled process instead of manual firefighting.
How It Works
- Data Collection. Connect external and internal sources: water conditions, lab results, weather and hydro data, welfare data, and operational events.
- Risk Assessment. An AI model calculates risk for each site and updates the score every few hours.
- Action Playbooks. For each risk level, the system suggests concrete actions with priority, deadline, and owner.
- Audit Trail. The decision context is stored: signal, recommendation, completed action, and outcome.
Who It Is For
Who benefits most from this product
- Production leaders and site managers.
- Fish health and veterinary teams.
- Operations directors and quality/compliance functions.
- Companies with multiple sites and distributed teams.