Researchers developed a radar system to track pollinators without capturing or killing them. The system uses machine learning to classify insects, bypassing the lighting and weather limitations that plague traditional camera-based vision systems. This non-invasive approach allows for continuous monitoring in cluttered environments. It provides a scalable alternative for ecologists tracking critical food web health.