Presentations from 2017 AFS Symposium: Emerging Technologies in Fisheries-Dependent Science and Catch Monitoring

EM Info Admin EM Info Admin

Published October 11, 2017
  • Fisheries worldwide are seeking to improve catch data and regulatory compliance while managing costs. Electronic monitoring (EM) has clear potential to meet these challenges by incorporating cameras, sensors and electronic reporting systems into fishing operations. However, program development costs as well as the costs of human video review and video storage present significant barriers to moving EM programs forward.

    At the American Fisheries Society Annual Meeting in Tampa, Florida in August, a symposium on Emerging Technologies in Fisheries-Dependent Science and Catch Monitoring brought together experts in electronic technologies and automated data processing to examine how ongoing efforts can improve fisheries-dependent data collection. Presenters explored the status and economics of current and developing EM programs; the evolution of EM hardware and software solutions; the potential for monetizing EM-derived data; small-boat EM solutions and advances in wireless technologies that can reduce video transmission costs.

    There were 19 presentations at the symposium. Thirteen abstracts and PDFs are available in the table below.

    Presentations addressed a range of topics. Machine-learning experts are building large-image datasets and creating algorithms to automate aspects of video review, thereby reducing costs. On-deck cameras can now be adjusted from shore-based facilities. Satellite communications will soon enable real-time data uploads from fishing vessels, and “smarter” EM systems will reduce video capture, transmission and storage costs that might otherwise be accrued during periods of low-to-no fishing activity. Meanwhile, in chute tests, accuracy of species identification is approaching 95% across dozens of species.

    The symposium provided time for hallway conversations as well, of course, and participants identified important opportunities and needs for the future, including: support for continued research; fish ID and image recognition competitions to encourage technology development; and information sharing with leaders in the European Union, New Zealand and other regions where large-scale EM projects are underway.

    Thanks are due the Symposium Steering Committee: Farron Wallace (NMFS, Alaska Fisheries Science Center), Jane DiCosimo (NMFS, Office of Science and Technology), Jennifer Mondragon (NMFS, Alaska Region), Chris McGuire (The Nature Conservancy), Carmen Revenga (The Nature Conservancy), and Erika Feller (National Fish and Wildlife Foundation), and also to Jennifer Cudney (NMFS, Southeast Region) for her support at the symposium.

    On behalf of the Steering Committee, we hope the information and insights gained through this symposium help you in your work. Opportunities such as this for practitioners and experts to talk about their experiences, ideas and lessons-learned are critical for advancing the use of EM in fisheries management. If you have ideas about additional subjects that should be explored, or if you would like to reach any of the presenters and don’t have their contact information, please drop a line to info@eminformation.com.


    Technology Investments for Tomorrow’s EM Programs
    Abstract & PDF


    It's All Connected
    Abstract & PDF


    What you get for what you pay
    Abstract & PDF

    Seatube - Satlink’s on Board Electronic Monitoring and Video Recording Solution
    Abstract & PDF

    Machine Learning for Big Fishery Visual Data
    Abstract & PDF

    Utilizing Wireless Technologies to Monitor New England Groundfish
    Abstract & PDF

    Integrated Operational Approach to EM & ER Onboard Fishing Vessels-Now and Tomorrow
    Abstract & PDF

    Open Source Software Platform for Electronic Monitoring
    Abstract & PDF


    Query Learning for Fish Identification
    Abstract & PDF

    Intelligent Monitoring Systems for Fishery Applications
    Abstract & PDF

    Fishface – Exploring the use of image recognition software in fisheries management
    Abstract & PDF

    Accelerating the Development of Automated Fish Identification for EM Systems- An Example from New England Groundfish
    Abstract & PDF

    Tracking and Measuring of Catch Events in Stereo Video for Longline Fisheries
    Abstract & PDF

 

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