College of the Canyons Association of Computing Machinery Research Project
View our project abstraction for a summary of how this system should work. To view more of the research completed so far, view our google drive
This configuration is using AWS IoT, DynamoDB, and Lambda services from AWS. A pre-defined eve_user table in DynamoDB holds information about the user's garden plot for querying. An MQTT client is setup through AWS IoT to subscribe and publish from/to the raspberry pi at scheduled intervals using configuration details from sensor_reader.py (certification must be created and linked to the pi using the topic thing01/data). A rule is then used to insert published sensor values into our DynamoDB eve_data table.
From DynamoDB, our water_alg Lambda function is triggered, which requests eto from the CIMIS API, queries the plant factor from our eve_pf table, and calculates whether watering is required. The results are then written back to the same item in our eve_data table. Lasty, an MQTT message is published back to the pi with watering instructions, which are then executed.
help.txt contains some useful linux commands for navigating the pi via ssh connection. All configuration is done using ssh. DO NOT push to this repository from the pi itself as this requires configuring user credentials for the pi, save out changes to your local computer and push from there. The pi will be setup to automatically pull from the repository once a day when deployed.
View the configs.txt from this repository to see configuration for pi hardware so far (any changes to hardware MUST be added to this file).
The wpa_supplicant.conf contains the information for configuring wifi connection on the pi.
crontab.txt is used for scheduling execution of the sensor_reader.py script. To edit cron jobs, run crontab -e and select nano as your editor. Then insert the line from crontab.txt and save.