AgriTech example

A strawberry greenhouse, today and tomorrow.

This is the digital twin of a plant as Operator shows it: every object in the model is linked to tags and moves with the real values. Here the values are simulated and time runs faster: one second is one minute in the greenhouse.

With AI machine learning learns from the greenhouse's history and forecasts climate, water needs and growth for the coming days; it flags anomalies before they turn into damage.

Loading the digital twin…

Climate sensor———

Fans—

Roof vents—

Misting—

Tank——

Substrate—

Greenhouse 1 · Strawberries · simulated data · —

CropEverbearing strawberryStage: flowering and fruiting

Day 46 of 120Next harvest in 3 days

Plant growth —expected today —

Measured by our Growth Analysis

Day: 22–24 °C
Night: 14 °C
VPD: 0.7–1.1 kPa
Substrate: 45–65 %
Light: 16 h

Climate

Temperature—

Relative humidity—

VPD——

Absolute humidity—

Outdoor—

Sunshine—

VPD: how hard the air “pulls” water from the leaves. For flowering strawberries 0.7 to 1.1 kPa is about right.

Controls

Automatic control

In automatic mode the crop rules decide. A manual command turns automatic off.

Irrigation

Substrate moisture—

Crop range 45–65 %

Tank (1,000 L)—

—

Last irrigation: —
Water delivered today: —

Electrical energy

Now—

Today—

Forecast—

Indicative power for a 96 m² greenhouse. The right-hand column is the forecast consumption.

Weather forecast · simulated

Outdoor temperature (°C)

Outdoor relative humidity (%)

Sunshine (% of full sun)

Expected greenhouse behavior

The crop rules applied to the weather forecast: what the greenhouse will do, hour by hour.

View the data as a table

Time	Outdoor	Humidity	Sunshine	Running (forecast)

The digital twin is a widget
in Studio.

Request a trial →Let's talk about the project