(This story is part of the cover package in the May-June issue of MJBizMagazine.)
Machine learning is becoming increasingly common in indoor cannabis grows, as cultivators use sophisticated sensors and cameras to maintain optimal growing conditions, sound the alarm about threats such as pests or disease and reduce labor costs associated with both menial and high-level cultivation tasks.
“Cannabis has always been the enabler of some of these bleeding-edge technologies,” Nick Genty, CEO of North Carolina-based AgEye Technologies, said in an interview with MJBizMagazine.
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“They’ve had the margins, and they’ve had the budgets to support investing in new technology versus some of the vegetable guys who don’t.”
There are two main reasons why cannabis and other indoor agriculture companies are implementing artificial intelligence or machine-learning
Read full article on Marijuana Business Daily