Profile
Smart Farm Robotix is a Bulgarian agrotech startup founded in 2021–2022 and headquartered in Sofia. The company develops and manufactures autonomous agricultural robots designed to solve the three main problems farmers face with current weeding methods: the high cost and labor intensity of manual weeding, the environmental and regulatory pressure to reduce herbicide use, and the inefficiency of traditional mechanical weeding on difficult terrain.
Its flagship product, the RoboAiWeeder, is a fully autonomous, 100% solar-powered weeding robot specifically engineered for hilly, mountainous, and remote agricultural areas. The robot uses AI-based image recognition to identify weeds among crops with surgical precision, enabling chemical-free weeding even in arid, stony, or irregularly shaped fields. It relies on GPS, multiple sensors, and smart navigation algorithms to operate independently without the need for permanent infrastructure. Thanks to its lightweight and compact design, the robot can be easily transported to the field using a standard pickup truck and two people.
Key technical features include full electric autonomy with solar charging, robust self-navigation in challenging environments, and modular weeding mechanisms that avoid soil compaction. The system is targeted primarily at small-to-medium farms growing organic or high-value crops where herbicide application is restricted or undesirable. By combining artificial intelligence with renewable energy and lightweight robotics, Smart Farm Robotix aims to make precision weeding accessible and economically viable for farmers who cannot afford large, heavy conventional solutions.
The company was founded by Rossen Kolev (CEO), Veselin Georgiev (CTO, former Facebook software engineer), and Kalina Stancheva (COO). The team has secured multiple national and EU grants and continues to expand with specialists in agronomy, AI, data science, electrical engineering, and robotics. Smart Farm Robotix positions its solution as a sustainable, cost-effective alternative that reduces labor dependency while supporting environmentally responsible farming practices.
Map
Sorry, no records were found. Please adjust your search criteria and try again.
Sorry, unable to load the Maps API.





