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Cannabis growers eye AI, other digital tools to improve crops and boost productivity

Cannabis growers are looking closely at mainstream agricultural technology to gain a new level of precision cultivation that employs everything from artificial intelligence and augmented reality to robots and drones.

The goals: better-quality cannabis, lower labor costs and improved productivity.

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Over the past few years, a host of AI-powered solutions have emerged to address:

Cannabis growing methods, or protocols. Day-to-day labor savings. Growth-rate tracking. Yield forecasting. Inventory management. Profitability management.

These are typically digital sensor-based systems managed by various platforms – Aroya, Canix and Trym are a few examples – that control lighting timing, lighting intensity, irrigation, temperature, humidity, fans and airflow, CO2 levels and plant nutrients.

“If you’re looking at how cannabis operations are run, everyone is doing their own trials or experiments already,” said Ben Niehaus, founder of Dresden, Germany-based SpexAI.

SpexAI is developing and testing a smart camera, called Hugin.

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