SBIR/STTR Research Award

SBIR Phase I:Adapting uncrewed aquaculture management to control sea lamprey and to protect wild salmonid fisheries of the Great Lakes

Award identifier 6dd9174450a7002f5d885ac0294f48cebb930a0d73184c5c7f074c807d79fb42Awarding agency National Science Foundation

Award amount

$256,000

Program and phase

SBIR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
RADMANTIS LLC
Proposal award date
2023-02-01
Contract end date
2023-12-31
UEI
X6RATG4KJPJ8
Solicitation number
NSF 21-562
Topic code
ET

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project focuses on improved methods for detecting and suppressing sea lampreys in the Great Lakes, a pest species that currently requires relentless, sustained, and costly control efforts at ecosystem scale. The project initiates the development of small, relocatable, field-deployed devices, capable of performing a range of assessment and selective control functions. Success in this effort will introduce an important new tool to bolster environmental health outcomes at an ecosystem level, and benefit commercial fisheries estimated at $7B annually. By replacing chemical and manual control of exotic invaders, the project contributes to the preservation of ecosystem integrity and function, biodiversity, and environmental quality of the Great Lakes, a vital natural resource providing water security for more than 35 million people in the region. With worldwide damage from aquatic invaders exceeding $300 billion annually, innovations driving advances in ecosystem protection and restoration will have wide appeal and application wherever habitats require protection. Broadening the available tool set empowers managers and local communities to act against exotic invaders at the level where causes and consequences are most acutely felt._x000D_ _x000D_ _x000D_ This project performs a feasibility study of existing technologies from aquaculture workflows for adaptation to the uncrewed control of sea lampreys in the field. The essential features of such a device are inherently similar to recently emerged solutions for automated fish management in robotic aquaculture systems. Existing models for detection and classification are expected to transfer well to a class as morphologically distinct as lampreys. The primary challenges to this project most likely arise from the unique biology and sensory ecology of a species whose responses to the physical device used here are completely unknown. A set of artificial stream experiments aims to entrain lampreys into devices placed into their path. How might lamprey react to a device optimized for the specific needs of imaging, classification, and selective removal? Informed by detailed knowledge of lamprey chemosensory ecology, the work also examines the efficacy of pheromonal cues for channeling lamprey movement through the device._x000D_ _x000D_ This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

4 SBIR/STTR records share this UEI (2021–2024). Reported award amounts total $1,081,000. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Commerce, National Science Foundation, Department of Agriculture

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.