Justin Bowen, CEO of GreenThumb IO, has completed the development of an automated greenhouse solution using AI to interface with smart cameras and a dosing system. Pulling inspiration from projects like Google’s Deep Mind, Bowen and his company aims to build a fully automated cannabis cultivation process in the next two to five years.
In 2018, Bowen built the hardware for smart cameras to collect training data from his own grow facility and has used that data to train neural networks modeled to perform leaf and bud analysis on images. This integrates with his automated dosing system, which is currently set up to feed the plants remotely based on the data that is obtained.
The GreenThumb IO beta is similar to AIs such as Tesla’s auto-steering beta, which can suggest lane changes to drivers but requires human confirmation before taking action. Today, the GreenThumb IO system can send alerts to growers when plants are deficient and recommend measures that can be triggered remotely. This system can be used in any controlled growing environment by installing cameras and automatic dosing mechanisms, or by integrating with a grower’s existing hardware.