Correlated drift
Zones moving together are grouped and traced back to a shared cause.
Anomaly detection & facility insights
When three zones drift together, it is not three problems.
Facility-wide pattern detection separates a single struggling tray from a shared root cause — a failing pump, a drifting probe, a hot corner of the room.
What gets caught
Equipment signatures
Pump, fan and doser behaviour compared against their own normal.
Sensor sanity checks
A probe reading nonsense is flagged as a probe fault, not a crop fault.
Spatial patterns
Problems clustering in one corner or one tier are surfaced as layout issues.
Recipe deviations
Where actual feeding diverged from the intended programme.
Facility scorecard
A weekly read on which parts of the room consistently underperform.
From noise to cause
- 01
Baseline
Every zone, probe and machine gets its own normal profile.
- 02
Cluster
Simultaneous deviations are grouped instead of alerting one by one.
- 03
Attribute
The most likely shared cause is named, with the evidence behind it.
Why it matters
Fix once
One repair resolves what looked like a dozen separate crop issues.
Less alert fatigue
One grouped incident replaces twenty duplicate notifications.
Better layouts
Persistent weak spots in the room become visible and fixable.
Find the cause, not just the symptoms.
Show us a bad week and we will point at what actually drove it.