Precision Agriculture Greenhouse Control Center

Dashboard highlights ​

• Greenhouse climate trends: long-horizon temperature, humidity, CO₂ and light curves.
• Layered greenhouse profile heatmap: vertical gradients instead of single-point averages.
• Soil moisture infiltration profile across the root zone.
• Crop stress gauge, irrigation Gantt and event log, outdoor weather radar.

Business value ​

• Irrigation by actual soil moisture saves water and fertilizer while avoiding stress.
• Early warnings for frost, heat and wind risks.
• Growing-process records support standardization and traceability.

How to build this on IoT DC3 ​

Low-power field sensors report over LoRa/NB-IoT gateways via MQTT, while weather stations and fertigation controllers connect over Modbus. Air, soil and irrigation data share one device-point model, and the rule engine drives stress alarms and irrigation reminders. See the documentation and the GitHub repository.

FAQ ​

Is the data real? ​

This page runs on mock data; with real sensors connected, the moisture and climate curves take the same shape.

Does it work for open fields, not just greenhouses? ​

Yes — the point model is scenario-agnostic: field weather stations, soil probes and valve controllers onboard the same way.