New World Screwworm Networked Detection, Identification, and Surveillance System
AI Overview
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.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
New World Screwworm (NWS or Cochliomyia hominivorax) larvae infest the living tissue of warm-blooded animals. NWS is prevalent in South America and the Caribbean, and it is estimated that re-entry of NWS into the United States could cost US cattle producers $732 million per year [USDA, 2025]. Screwworm flies lay eggs in open wounds. The eggs hatch into maggots (larvae) that eat live tissue, causing a worsening, often painful and foul-smelling wounds [CDC, 2025].
Wildlife and free-ranging animal...
Change History
New World Screwworm Networked Detection, Identification, and Surveillance System
New opportunity: New World Screwworm Networked Detection, Identification, and Surveillance System
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