Intersection of Cannabis, AI, and Ag Tech Straight Ahead

Pictured above is a general purpose dual RBG camera system, designed by Carnegie Mellon University researcher George Kantor and his R&D team, to collect high quality images in agricultural environments. Collected images can feed crop-specific artificial intelligence methods that extract measurements such as crop yield, maturity, or disease incidence. Generally speaking, artificial intelligence (AI) enabled technologies are infiltrating every aspect of our daily lives, from the smartphones everyone is carrying around everywhere to places where maybe AI is best left on the sidelines (have you heard about Alexa's newest integration into a connected shower head device?). As you all know, the greenhouse has not been spared from the "AI Revolution" – not in the slightest – and one area we're hearing the technology is making believers out of skeptics is in the legal cannabis space, where high profit margins and a youthful, tech-focused grower demographic creates the perfect storm for early-stage ag tech adoption. If you disagree with that statement, I invite you to spend a day next year at the massive MJBizCon show in Las Vegas, which at this point is basically a smaller, more focused CES show for cannabis producers, and then let me know if you still don't think cannabis growers are all that innovative or on the cutting edge of technology adoption.