New World Screwworm Networked Detection, Identification, and Surveillance System
This RFP seeks an autonomous, networked detection system using machine learning and on-board sensors to identify New World Screwworm in real-time across remote border regions. The system addresses current manual trap limitations by enabling persistent surveillance and rapid threat detection without laboratory diagnostics.