This solicitation closed on October 21, 2026
View current Department of Defense opportunities →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
Informational change · Status
New World Screwworm Networked Detection, Identification, and Surveillance System
The funding opportunity's status changed from Open to Closed. The solicitation is no longer accepting applications, so any applicant who has not yet submitted should stop preparing a new submission for this opportunity. Work in progress should be redirected toward other open solicitations, and teams should watch for any reopening notice, amendment, or follow-on announcement from the agency that could signal a new application window.
Informational change · Status
New World Screwworm Networked Detection, Identification, and Surveillance System
Status changed from status: Pre-Release to status: Open.
New World Screwworm Networked Detection, Identification, and Surveillance System
New opportunity: New World Screwworm Networked Detection, Identification, and Surveillance System
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