Significance Of Robots in Cannabis Production

Numerous states have legalized cannabis; the growing demand will push the adoption of automation and robotics.

Fremont, CA: With more states legalizing cannabis production and use, the growers aim to follow the demand that might yield investment in robotics and automation technologies to extend productivity and scale their operations.

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Slow Adoption

The acceptance of robotics might take a while to acquire momentum. To increase productivity, cannabis growers turn to different solutions, like a few companies that generate robots programmed with machine vision and path-planning algorithms. These robots are aware of the cannabis crop, differentiate between the plant’s several parts, and identify and isolate the flowers’ collection for harvest. By far, these technologies appear to be working.

Pacifying manual labor, expediting growth

The cannabis market provides new prospects for the robotics sector, as it has yet to be completely developed and matured. There are many areas within a cannabis operation where robots can be helpful. For illustration, they might be utilized for indoor or outdoor operations to harvest and help in the processing of cannabis products to market. The several processes that gain from robotics in industrial or other agricultural operations can be used in the production of cannabis, hemp, or CBD. Robotic applications can be employed to cultivate, harvest, and even in laboratory applications for improving operations.

Despite a few indoor cannabis production issues, robots can bring efficiencies to an indoor agricultural process. Unfortunately, some robots operate in greenhouses, a hard environment because of the humidity and high temperatures, as electronics generally don’t like water and extreme heat.

Apart from indoor and outdoor cultivation, robotics is also considered to play a role in laboratories associated with growth in cannabis demand and production. Companies might aim to align workflows and improve efficiencies. One of the keys to securing this would be automation. It will be advantageous not only in the lab space but also in the processing space.