Automated self-propelled installation for field work

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Challenge

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

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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

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Result

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

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