Automated self-propelled installation for field work


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


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 to chart its own route and determine the type of plant that is in front of it. A variety of instruments and manipulators can be mounted on this system to allow crops to work in the fields.


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