Case Study · Soil Moisture & Irrigation Control
A live, time-series-driven application.
Goal
Use real-time soil moisture readings to recommend or automate irrigation.
Data flow
- Soil-moisture probes publish observations via MQTT (OGC STA).
- The platform stores them on the Datastream linked to a Region.
- A decision-support service consumes the live stream and the local weather forecast.
- Recommendations land as Activities (planned irrigation events).
- A connector (optional) writes the events to the irrigation controller.
APIs used
- Sensor Things API — observations
- Activity API — recommended events
- Service Registry — the decision-support service
- Farm API — the region the probes monitor