Optimization of greenhouse operation
The system collects the operator’s proposed control settings for key greenhouse equipment (e.g., ventilation fan level, curtain position, and window opening) and combines them with the most recent measurements available from the greenhouse sensors. Where a fresh sensor reading is not available, the system still proceeds by substituting a reasonable placeholder so the overall “current situation” can be formed consistently. This produces a complete, up-to-date snapshot of operating conditions plus the intended adjustments.
That snapshot is then evaluated by a pre-trained predictive model to estimate the expected near-term greenhouse outcomes—most importantly the indoor climate indicators such as temperature, humidity, and light intensity. The results are returned immediately to the dashboard as a concise set of predicted values, allowing management and operators to compare “what if we set the equipment like this?” scenarios and make decisions based on projected impact rather than trial-and-error.
Sensors
Runoff Conductivity Greenhouse 2
[ mS/cm ]External humidity
[ % ]Rain detection status
[ yes - no ]External temperature
[ °C ]Internal Humidity Greenhouse 2
[ % ]Runoff ph Greenhouse 2
Internal Temperature Greenhouse 2
[ °C ]Optimization
The user defines the target temperature and humidity ranges according to the specific cultivation requirements. The tool uses these inputs as benchmarks to recommend greenhouse operations dynamically.