Hackster.io members Damir Mukametkarim and Artem Savchuk have created a great tutorial on building a Raspberry Pi plant monitoring system, harnessing the features of Azure IoT and Node.js.
As you can see from the image above, the core of the system is the Azure Internet of Things hub which allows transferring telemetry from sensors to the back-end application. Collected data is supposed to be indexed in Elasticsearch for later visual analysis in Kibana.
The system requires the following hardware:
- Raspberry Pi 3 Model B
- DHT11 Temperature & Humidity Sensor (4 pins)
- SparkFun Soil Moisture Sensor (with Screw Terminals)
- Photo resistor
“This project is a quick demonstration of a demo about plant observation system. The system should gain valuable information about plants from diverse sensors such as photoresistors, moisture sensors, temperature/humidity sensors. These sensors are connected to the device, which communicates events to the back-end application for later processing and analysis.
Here we will use Azure IoT Hub to let the device to communicate with our back-end app. In that device we will randomly generate telemetry, so it’s make possible to test the system without a real hardware parts and sensors.”
Further information can be found on Hackster.io project’s page.
