Eyer

aquaculture · Offshore aquaculture technology operator, Norway

Hours

before fish health indicators become visible

An offshore aquaculture operator applied Eyer to water quality data — detecting early anomalies before fish health indicators became visible. Dynamic baselines adapt to offshore variability.

Hours
early warning ahead of visible health indicators

Water quality anomalies detected before fish behaviour or mortality becomes visible

3
dynamic baselines per metric

Baselines capture seasonal and tidal variation in offshore water conditions

The operation

An offshore aquaculture operation in Norwegian waters, monitoring environmental and water quality parameters including dissolved oxygen, temperature, salinity, current speed, and biological indicators. The offshore environment introduces significant natural variation that makes static threshold monitoring particularly difficult.

The problem with static monitoring in variable environments

Offshore aquaculture faces a monitoring challenge that land-based operations do not: the environmental baseline itself varies significantly with tides, seasons, weather events, and geographic position. A temperature value that is anomalous in summer is normal in winter. A salinity level that is normal at high tide may be a concern at low tide in certain conditions.

Static thresholds either need to be set wide enough to accommodate natural variation — in which case they miss genuine anomalies — or narrow enough to catch genuine anomalies — in which case they generate large numbers of false positives during normal environmental variation.

Dynamic baselines in a variable environment

Eyer's dynamic baseline approach is specifically suited to highly variable environments. Because the baselines are learned from historical behaviour — capturing the normal range of variation that the operation has historically experienced across all its natural variation patterns — they incorporate seasonal, tidal, and weather-related variation without requiring manual configuration of contextual rules.

The baseline for dissolved oxygen in July is different from the baseline in January. The baseline during a northern wind event is different from the baseline in calm conditions. Eyer learns these relationships from the historical data and evaluates current conditions against the appropriate learned baseline.

Early warning for fish health parameters

The Fast Forward analysis identified anomaly patterns in the water quality data that had historically preceded fish health events. Dissolved oxygen profiles, temperature stratification patterns, and chemical indicator behaviour showed consistent deviation signatures in the hours before fish health indicators became visible.

In an offshore environment where physical intervention is logistically complex and time-consuming, early warning is disproportionately valuable. A window of several hours is the difference between a preventive action that can be taken at the next scheduled vessel visit and an emergency intervention.

Regulatory and welfare context

Norwegian aquaculture operates under increasingly detailed regulatory requirements for fish welfare monitoring and environmental impact management. The operational audit trail that Eyer produces — timestamped, metric-level, capturing both normal operation and anomaly patterns — provides the structured documentation that regulatory compliance requires. Early detection capability and compliance documentation are produced by the same system.

Similar results in land-based RAS

A comparable result was observed in a land-based RAS operation, where Eyer detected a water chemistry anomaly 2-3 hours before any operational impact. No threshold had fired during the detection window. See: Water chemistry anomaly detected two to three hours before operational impact.

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First findings within one week. No new sensors. No infrastructure changes.

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