GreenThumb IO Sensor Kit

Deploy GreenThumb IO’s Open-Source Sensor Kit

Justin Bowen
Mar 6, 2019 · 3 min read

GreenThumb IO is a cannabis computer vision and AI product. We are open-sourcing our prototypes that we used to develop our platform capable of integrating with any industry standard product and service providers. I have a series of blogs outlining our projects which can be found here on Medium — follow to stay in the loop on new developments!

When I think of senses I think of the classical five senses: sight, hearing, taste, smell, and touch. These human senses provide inputs for us to navigate situations, allowing us to perform actions based on our perceived environment. Machine sensors provide a wide assortment of opportunities to measure our world.

Soil sensors can read temperature and humidity as seen in Adafruit’s Learning post on Wireless Garden Monitoring https://learn.adafruit.com/wireless-gardening-arduino-cc3000-wifi-modules

Other Senses

Cameras are used in automation to allow cars to see lanes on highways which can be seen applied in consume products like the Tesla line of Smart Electric Vehicles with autopilot.

Streaming Serial Sensors

Read Serial Data

Now let’s see how we can take readings from each device:

Air Temperature & Humidity

Soil Temperature & Humidity

Liquid Temperature & pH

References

Computer Vision

Air

Soil

Water Temperature

WebSocket Server

Computer Audio

If you have any questions or are interested in the project or using my open-source packages, feel free to leave a comment or ping me on LinkedIn or Twitter, I will be responsive.

GreenThumb is also seeking early clients, partners, and initial funding. Yes, I did the work and paid for this all on my own.

GreenThumbIO

GreenThumb IO is a company focused on automating…

GreenThumbIO

GreenThumb IO is a company focused on automating conventional agriculture cultivating technology with smart cameras and machine learning.

Justin Bowen

Written by

GreenThumbIO

GreenThumb IO is a company focused on automating conventional agriculture cultivating technology with smart cameras and machine learning.