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Automated self-propelled installation for field work

Challenge
There was a need to implement a solution for field care without human intervention

TECHNOLOGY
Hardware, IoT, Mobile app (Kotlin & Swift), Artificial Intelligence, Computer Vision, C, Vue.JS & Python
How it works
The prototype determines its location using GPS, and Computer Vision allows it to chart its route and select the type of plant in front of it. A variety of instruments and manipulators can be mounted on this system to allow crops to work in the fields


Result
The implemented prototype allows automating work on farms and fields. At the moment, this is an experimental copy

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