Imagine a small, smart rover that acts like a tiny gardener for huge fields. It uses a camera and a brain similar to how your phone recognizes faces to tell the difference between a crop and a weed. Instead of spraying poison, it simply pulls the weed out or uses a precise beam of energy to zap it, all while running on sunshine.
Farmers face declining yields due to herbicide-resistant weeds and a shortage of manual labor. Existing mechanical tilling is imprecise and damages soil, while chemicals pollute the environment.
A solar-powered 4-wheeled rover with AI plant recognition and dual weeding modules (mechanical gripper and energy beam). It includes a multi-GNSS navigation system and a data monitoring hub.
If you are an organic farm dealing with high weed pressure and a lack of manual labor — this project developed a solar-powered rover that removes weeds without chemicals. This allows for scaling organic production without the back-breaking cost of manual weeding.
If you are a machinery company dealing with the shift away from internal combustion engines — this project developed a lightweight 4-wheeled electric platform using off-the-shelf components. It provides a blueprint for energy-independent, AI-driven weeding tools.
If you are a data firm dealing with a lack of real-time field insights — this project developed a robot that collects plant and field data via cameras and sensors. This enables the sale of predictive analytics and soil tracking to farmers.
Based on available project data, specific pricing is not mentioned, but the robot uses off-the-shelf components to keep costs manageable.
The project aims for scalability and reliability, utilizing a 24-hour working cycle powered by 100% solar energy to cover fields autonomously.
Based on available project data, the project involves proprietary algorithms for navigation and AI-based deep neural networks for plant recognition.
The robot uses multi-GNSS (including Galileo) and 2-way communication with a central company data and monitoring hub for remote management.
The project period runs from 2024-06-01 to 2026-11-30, focusing on accelerating go-to-market activities.
The project is led by a single Bulgarian SME, Smart Farm Robotix OOD. With a 100% industry ratio and no university or research partners, the focus is purely on commercial application and rapid product development rather than academic research.
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