Predictive infrastructure monitoring

See the failure before your crop does.

Reads the data your greenhouse already produces. Catches silent failures — stuck sensors, drift, dying valves. 24–48 hours before the crop feels it. No new hardware. Works on top of your climate system.

No hardware changesRead-only observationNo PID interference

Works with the systems you already run

PrivaHoogendoornRidderHortiMaXCerthon

A real case

A sensor froze for a week. Nothing noticed.

In a working commercial greenhouse, a humidity sensor sat frozen at 100% RH for 164 consecutive hours. The SCADA system reported "normal" the entire time. This is the exact failure Grovsen is built to catch — the one no threshold alarm is watching for.

SCADA alarm threshold — never reached100% RH
Humidity — frozen 164hTemperature — normal

164h

sensor frozen at 100% RH

0

SCADA alarms raised

24–48h

earlier warning Grovsen gives

A fault this simple, invisible for a week — because every individual reading still looked plausible. This is the blind spot Grovsen closes.

The invisible window

What if the reading you trust is wrong?

Traditional controls wait for a threshold breach. Grovsen reads the relationships between signals — and sees the fault while every channel still looks fine.

Live diagnostic replay

Measured_Pipe_1_Temp

READ_ONLY
10°C14°C18°Ct+0ht+12ht+24ht+36ht+48hSETPOINT 18.0°C34H BLIND SPOTGROVSEN · t+2hSCADA · t+36h

14 Jan · 04:00 · t+2h

Pattern decoupling detected

16.7°Cmeasured-1.3°Cdelta

34 hours of damage — before a single alarm.

Diagnostic architecture

So why doesn't your SCADA catch it?

Greenhouse climate computers are designed to maintain setpoints inside compartments, not diagnose degradation in the central utility equipment supporting them.

The reality gap

Static bounds

Built to control.
Not to diagnose.

Wide static thresholds miss continuous sensor calibration drift, sticky mixing valves and frozen actuator outputs until setpoints collapse.

SCADA Zone 04 · TempInside static envelope · no alarm
Max 26.0°C
Min 16.0°C
Drift begins · t=0h
00:0012:0024:00 · silent fault

The Grovsen layer

Root-cause linked

One view of the
whole system.

Connects compartment sensors with upstream boiler PLCs, buffer tanks and mixing circuits to isolate mechanical failure before biological wilt occurs.

Read-only telemetry · 3 sourcesDeficit −9.5°C isolated
Upstream valve · t=2h
Model baselineUnder-heating delta · −9.5°C

Why Grovsen

Built to be the easy first step.

We touch nothing.

Read-only observation. No control, no PID interference, no risk to your climate system.

Start from a CSV.

Export your existing sensor history — no installation, no IT project. First findings in 48 hours.

Works on any system.

Vendor-agnostic — sits on top of Priva, Hoogendoorn, Ridder or custom IoT. No lock-in.

We don't optimize. We catch failures.

Not another yield tool. We find the silent equipment faults your sensors can't flag alone.

Free pilot. No obligation.

Share historical data, get a baseline audit. No purchase required to see what we find.

Apply for pilot validation

The detection engine

Machine learning,
kept honest by physics.

A two-pass architecture learns your facility’s real operating envelope, validates events against thermodynamic behavior and returns a maintenance-ready fault class.

COLD-START ENGINE

Robust scrubbing

Cleans unlabeled historical data before baseline learning, preventing real faults from inflating what the model accepts as normal.

Deviation Filter · 4% Outlier Isolation

Operational logic

Calculates median deviations across sensor histories to strip out historical glitches, communication drops, and unflagged sensor freezes before they can contaminate your baseline model.

Pass 01/04: Robust scrubbing

Commercial evidence

This isn't a lab demo — it's real telemetry.

Benchmarked across a full year of five-minute commercial greenhouse data, including seasonal transitions and saturated humidity.

105,000+

commercial datapoints

9.5°C

deficit isolated

164h

longest stuck-sensor fault caught

€15k–€50k

industry-estimated loss per compartment

For high-value crops such as tomatoes, berries and peppers, industry estimates put a single heating or dehumidification failure at €15,000–€50,000 per compartment.

Economic risk asymmetry

What one silent failure actually costs.

In high-value CEA, one hectare of tomatoes, berries or peppers holds €400,000–€800,000 in crop. A single undetected equipment fault can quietly erase a slice of that before any alarm fires.

Detection point

Traditional SCADA reality

Threshold breached after plant wilt (t = 36h)

Grovsen early intervention

Sub-surface drift isolated at boiler/pipe (t = 2h)

Action

Traditional SCADA reality

Reactive crop triage & salvage

Grovsen early intervention

Proactive 15-minute valve/boiler repair

Financial impact

Traditional SCADA reality

€15k–€50k batch damage + energy waste

Grovsen early intervention

€0 crop loss; normal diurnal cycle maintained

Pilot access

Show us your facility.

We’ll review the fit and send the exact export requirements for your climate system.

Your logs remain confidential and are used only to model your facility’s operating baseline.

What happens next

01

Export historical data

Share 3–6 weeks of standard sensor logs. No installation or live-system access.

02

Receive a baseline audit

We identify historical equipment drift and separate it from normal process variation.

03

Verify the findings

Your operator checks alerts against maintenance records in a 20-minute review.

We'll use your details only to respond to your request. See our Privacy Policy.

Strict data confidentiality. Your sensor logs are used strictly to model your facility's baseline.