Indoor agriculture and controlled environment farming in general is still very much in its infancy with best practices for growing different crops still being developed. At Grownetics we’ve tasked ourselves with solving this challenge, not just for cannabis, but for all crops being grown in greenhouses and urban farms.

The first version of Grownetics’ deep learning recommendation engine has been tested with multi-state operator Shift Cannabis and is producing amazing results. Our recommendation algorithms are designed to discover the ideal environmental parameters including temperature, humidity, and CO2 to maximize quality and yield for any cultivar.

This will usher in a new paradigm for environmental controls that will enable cultivators to supercharge their existing systems with seamless integration. Enterprise customers get early access to the latest Grownetics technologies but the second fastest way to get access is by joining the beta tester program.