2022 - The demise of loose flower or How automation gave prerolls the win!!
2022 - The demise of loose flower or How automation gave prerolls the win!!
Leading edge technologies are integrating machine vision for cannabis production. There are now major additional features, enabling automated cannabis flower grade classification.
This is an AI system that relies on known indicators for quality such as trichome density, shape, color, and mold detection. These indicators and others are incorporated into machine learning algorithms for automated flower grading classification.
Using optical recognition and big-data algorithms, NoMo Mold™ Detector, developed by My Crops Technologies Ltd., identifies mold in and on the flower allowing it to be either “batch flagged” or ‘bud flagged" while passing through a conveyor.
AI algorithms, also enable to NoMo Mold™ Detector to "learn" new strains, or varieties of mold, and source the vast database of images stored on secure servers without the identification of the source (customer).
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Developed by Grow Director -Israel , the GROW DIRECTOR™ is a unique, scalable, plug-and-play automated grow controller capable of adapting to almost any growing environment and responding to changes in the environment or other variables of plant growth.
The benefits of GROW DIRECTOR™ are proportional to the growers’ concern to find a definitive, stable device that meets their needs. Its elegant design and easy, innovative usability make it unique, positioning it well ahead of its predecessors.
GROW DIRECTOR™ is for small to medium size growers who want to improve their yield by automating the growing process. The uniquely designed command center is simple to operate, with preset programs and remote controls. It connects to most standard sensors, and it is scalable, so adding plants will usually not require additional units.