Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. Development of Sustainable, Multi-Seasonal, Multi-Species, Marine Algal Aquaculture in Coastal Maine

    SBC: Maine Fresh Sea Farms, LLC            Topic: 81

    This Phase I proposal determines the feasibility of growing multiple species of macroalgae in commercial marine aquafarm environments. Marine aquaculture is a logical outgrowth of successful wild harvest seaweed businesses over the last several years. Developing a marine aquaculture prototype will foster the science of sea farming. Extending growing seasons for multi-species would provide year ...

    SBIR Phase I 2014 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Automated Analysis of Fisheries Information from Digital Stills

    SBC: TOYON RESEARCH CORPORATION            Topic: 82

    Toyon proposes development of a system which performs automated analysis of images for fish population monitoring and fishing regulation enforcement applications. The proposed system is capable of processing images collected from aircraft, including unmanned aerial vehicles, as well as images collected using boat-mounted or handheld cameras used to observe fish catches landed on the decks of vess ...

    SBIR Phase I 2014 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Reconfigurable Mobile VHF Lightning Mapping System

    SBC: TOYON RESEARCH CORPORATION            Topic: 94

    A preliminary design of a mobile receiver system for intra-cloud lightning detection, mapping, and tracking was completed and analyzed during the Phase I program. The direction-finding (DF) receiver design is small enough for use on small UAVs and utilizes the full VHF spectrum. The lightning Mapping Unmanned Sensor (LITMUS) design will be finalized, fabricated, assembled, and demonstrated durin ...

    SBIR Phase II 2014 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Automated Detection, Tracking Measurement, and Classification of Fish Observed by Underwater Cameras

    SBC: TOYON RESEARCH CORPORATION            Topic: 92

    We propose to develop a system that can automatically detect, track, measure, and classify fish seen in video collected by stationary underwater cameras. Our approach makes use of a novel method for detecting motion that can mitigate false alarms due to swaying underwater vegetation. We propose a novel technique for tracking the fish in three spatial dimensions allowing for improved knowledge of ...

    SBIR Phase II 2014 Department of CommerceNational Oceanic and Atmospheric Administration
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