Gather environmental metrics from an array of sensors connected to a Raspberry Pi deployed via balenaCloud.
An image is captured at regular intervals annotated with the following metrics:
- A UTC timestamp
- The relative humidity
- The temperature
- Whether or not the soil contains moisture
The image is captured entirely in memory before it is shipped to s3. The metrics data is appended to a google sheet.
- Any Raspberry Pi model
- A Micro SD card
- A DHT22 sensor
- A Soil moisture sensor
- A Raspberry Pi compatible camera module
The following environment variables are required:
| Name | Purpose |
|---|---|
CLEVER_HARVEST_DHT22_PIN |
A GPIO pin |
CLEVER_HARVEST_GOOGLE_API_CLIENT_SECRET_JSON |
Your Google API credentials as JSON |
CLEVER_HARVEST_IMAGE_ROTATION |
Degrees to rotate the captured images |
CLEVER_HARVEST_MOISTURE_PIN |
A GPIO pin |
CLEVER_HARVEST_S3_ACCESS_KEY_ID |
An S3 access key ID |
CLEVER_HARVEST_S3_BUCKET_NAME |
An S3 bucket name |
CLEVER_HARVEST_S3_SECRET_ACCESS_KEY |
An s3 secret access key |
CLEVER_HARVEST_TITLE |
The title of the google sheet |
CLEVER_HARVEST_WEB_PASSWORD |
Password to access the dashboard |
Devices running this software managed with balenaCloud.
You'll need to configure an SSH key and add the balena git remote to your repository.
Then you can deploy to all devices in the fleet with a simple git push:
git push balena masterMaster builds of this repository are automatically deployed with TravisCI.
See the .travis.yml configuration for more details on how this is automated.