Project Grant 20246702142526
- The $150,000 Phase I Small Business Innovation Research Project Grant from the National Oceanic and Atmospheric Administration will fund the development of automated image detection and machine learning systems for aquaculture production by Radmantis LLC. The company aims to pioneer the use of edge computing devices integrated with computer vision and artificial intelligence to autonomously monitor fish farms for early disease detection and permit sorting and handling of fish by...
- This $1,016,000.00 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program will fund the development and application of a low-cost, portable biosensing platform for detecting and monitoring waterborne pathogens in aquaculture and coastal environments. The University of Massachusetts Lowell, as the prime awardee, will lead the effort to adapt its patented biosensing technology to enable real-time pathogen detection and...
- This Project Grant award from the National Science Foundation's Division of Molecular and Cellular Biosciences (CFDA 47.074 Biological Sciences) provides $786,821 to the Massachusetts Institute of Technology (MIT) to develop synthetic microbiome consortia to improve feed efficiency and prevent pathogen colonization in aquaculture systems. The key products and services to be delivered include: Constructing synthetic microbiomes to increase feed efficiency in the brine shrimp, Artemia salina,...
- Grant Award Summary The University of Maryland, College Park received a $650,000 Project Grant award from the Institute of Food Production and Sustainability under the Agriculture and Food Research Initiative (AFRI, CFDA 10.310) beginning February 1, 2026 and concluding January 31, 2029. This research project develops non-invasive methods for detecting stress in rainbow trout raised in recirculating aquaculture systems (RAS). The deliverables include expanded genomic analysis of stress-related...
- Tridentis Advanced Marine Vehicles LLC and the Watershed Innovation Laboratory at Washington College will develop technology and monitoring solutions for near-shore aquaculture installations under a $149,865 project grant from the National Oceanic and Atmospheric Administration. Specifically, the awardees will establish baseline water quality and shellfish testing for aquaculture farms, then develop an efficient and cost-effective material solution to continuously monitor environmental...
- This $750,000 Project Grant from the National Science Foundation (NSF) Office of Integrative Activities supports the development of nationwide smart precision aquaculture networks for sustainable shellfish farming under the NSF's Integrative Activities program (CFDA 47.083). Awarded to the University of Maryland, College Park on October 1, 2021 for a one-year period, the grant funding will enable the convergence of technologies towards building capacity for precision aquaculture. Subawards of...
- The U.S. Department of Commerce National Oceanic and Atmospheric Administration (NOAA) awarded a $1.3M Project Grant under the Congressionally Identified Awards and Projects program (CFDA 11.469) to the University of Rhode Island (URI) Research Office Division to increase the resilience of the seafood industry to climate change and improve U.S. food security. The interdisciplinary team of URI scientists will work with the seafood industry and other institutions to accelerate selective breeding...
- The Aifish LLC was awarded a $300,000 project grant from the National Oceanic and Atmospheric Administration under the Small Business Innovation Research Program to develop advanced data analysis tools for electronic monitoring in fisheries management. NOAA's SBIR program supports small businesses in stimulating technological innovation to meet federal research needs. Aifish will provide data analytics software to help fisheries managers efficiently process large volumes of video and sensor data...
- Federal Project Grant Award Summary Aquaculture System Technologies, L.L.C. (AST) received a $167,054 Phase I Project Grant from the U.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA) under the Small Business Innovation Research (SBIR) Program (CFDA 10.212), awarded on August 15, 2025, with completion targeted for April 14, 2027. The project deliverables focus on developing and demonstrating a sludge-based nitrate removal system designed to optimize...
- This $818,396 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) will develop a multi-agent AI system of three bio-inspired underwater vessels and a control buoy. The goal is to enhance understanding of hydrodynamics and control of multi-swimmer systems, advance the theory and practice of programmable underwater networks, and enable effective survey of coastal zones. Key deliverables include: (A) three bio-inspired robotic fish...
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** AS THE DEMAND FOR FISH INCREASES AND THE AQUACULTURE SYSTEMS EXPAND TO DEEPER OCEANS, TRADITIONAL MANUAL OPERATIONS AND MONITORING ARE BECOMING LESS EFFECTIVE. THIS DRIVES THE URGENT NEED TO DEVELOP AND DEPLOY INTELLIGENT AUTONOMOUS SYSTEMS LIKE DIGITAL TWIN MODELS, WHICH ARE VIRTUAL REPRESENTATIONS OF REAL AQUACULTURE SYSTEMS. THE SUCCESS OF THE PROJECT CAN HELP MAKE AQUACULTURE MORE AUTOMATED AND MORE SUSTAINABLE. TO ACHIEVE THIS GOAL, WE WILL BUILD FAST MACHINE-LEARNING MODELS THAT CAN ACCURATELY PRESENT THE DYNAMICS OF AQUACULTURE SYSTEMS IN DIFFERENT ENVIRONMENTAL AND OPERATION STATES. THE DATA TO TRAIN THE MODELS COMES FROM THE HYDRODYNAMICS SIMULATIONS OF AQUACULTURE SYSTEMS. THE COMPARISON OF THE PREDICTIONS FROM THE MACHINE LEARNING MODEL AND REAL-TIME SENSOR MEASUREMENTS CAN GUIDE THE FIELD OPERATORS TO TAKE IMMEDIATE CONTROL ACTIONS AND PREVENT POTENTIAL SYSTEM FAILURES.WE AIM TO RELEASE THE DATASETS AND PREDICTIVE MODELS AND PRESENT THE WORK IN JOURNALS, CONFERENCES, AND WORKSHOPS IN AQUACULTURE ENGINEERING AND MACHINE LEARNING. WE WILL ALSO CREATE A GRADUATE-LEVEL COURSE ON SUSTAINABLE AQUACULTURE AT ARIZONA STATE UNIVERSITY. THE SUCCESS OF THE PROJECT WILL REVOLUTIONIZE THE INTELLIGENT AND PRECISE OPERATIONS OF AQUACULTURE SYSTEMS AND WILL PREVENT HUGE ECONOMIC LOSSES DUE TO UNDESIRABLE WEATHER AND FAULTY OPERATIONS.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 5/16/24 |