Researchers developed a radar-based system to identify pollinating insects without capturing or killing them. This approach bypasses the lighting and weather constraints that typically hinder machine learning vision systems. The tool provides a non-invasive method for tracking pollinators in cluttered environments. It offers a more reliable alternative to traditional image-based classification.