UnB Students Launch Robotics Startup AGRA for Soybean Disease Detection
AGRA, a startup by UnB students, focuses on using robotics and AI for precision agriculture, specifically targeting soybean diseases. The initiative aims to automate data collection and analysis, enhancing crop monitoring and farmer support.
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AGRA, founded by University of Brasília students Daniel Alves and Vitor Rezende, aims to develop ground robots for early disease detection in soybeans. The project integrates technology, artificial intelligence, and precision agriculture to automate data collection with intelligent modules equipped with sensors.
Unlike conventional drones, AGRA emphasizes ground vehicles to monitor the lower parts of soybean plants, where diseases thrive due to higher moisture. Currently in its initial phase, AGRA has secured funding and plans to validate its minimum viable product in the field by September or October 2026. Participation in AgroBrasília 2026 provides a strategic platform for connecting with rural producers and investors, crucial for the startup's growth.
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