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A student-built drone detects and deters deer to protect crops, winning $5,000 for its innovation.
A University of Minnesota student team developed FarmGuard, an autonomous drone that uses cameras and computer vision to detect deer day and night, then deters them with lights and sound while optimizing flight paths for energy efficiency.
Designed to self-charge and return to a station like a robot vacuum, the drone operates for up to 45 minutes per charge, offering continuous overnight protection.
The system aims to reduce crop losses—up to 30% from deer—on small farms, where fencing is often too costly.
Winning the Small Farm Technology award, the team earned a $5,000 prize to support further testing on two farms, with no similar commercial product known to exist.
Un dron construido por estudiantes detecta y disuade a los ciervos para proteger los cultivos, ganando $5,000 por su innovación.