At this year’s American Fisheries Society Meeting in Tampa, Florida (August 20th-24th), we are hosting an all-day session on Monday (21st) titled, Emerging Technologies in Fisheries-Dependent Science and Catch Monitoring.
We are bringing together electronic technology experts, fishery scientists, managers and other stakeholders to examine how advanced technologies can improve future fisheries-dependent data collection. You will hear how remotely collected data (video images, global positioning systems, sensors), machine vision learning, big data, and reporting application technologies, can be used in fisheries science and management. Please note that discounted early registration ends July 8th.
We hope you can join us. Please contact me or a member of our Steering Committee for more information!
Steering Committee
Brett Alger, NMFS, Office of Science and Technology
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
Erika Feller, National Fish and Wildlife Foundation
Presentation Titles
Technology Investments for Tomorrow’s Electronic Monitoring Programs. Howard McElderry, Archipelago Marine Research Ltd.
Electronic Monitoring in the Gulf of Mexico (GOM) Commercial Reef Fish Fishery. Carole Neidig, Mote Marine Laboratory
Operational integrated approach to the deployment of Fisheries Electronic Monitoring and Reporting solutions onboard fishing vessels: Now and Tomorrow. Greg Hammann, Marine Instruments
It’s All Connected. Morgan Wealti, Saltwater, Inc.
Implementation of Electronic Monitoring in Alaska for Compliance and Catch Estimation. Bill Donaldson, NMFS Alaska Regional Office
What you get for what you pay: A cost-efficiency analysis for catch monitoring in the New England groundfish fishery. Anna Henry, NMFS Northeast Fisheries Science Center
Seatube, Satlink’s on Board Electronic Monitoring and Video Recording Solution. Chris Wilson, Satlink
Machine Learning for Big Fishery Image and Video Data. Jenq-Neng Hwang, University of Washington
Electronic Monitoring Data Suite: Using Commercial Vessels to Collect and Integrate Catch, Environmental, and Acoustic data. Mark Hager, Gulf of Maine Research Institute
How a New Generation of Private and Public Instrumentation Can Benefit the Fleet, the Environment, the Scientific and Regulatory Communities. Liz Wiley, IOT Impact LABS
Video, GPS and Mobile Phone Electronic Monitoring applications for rural small scale fishing vessels in developing countries. Alfredo Sfeir, Shellcatch
Development of economical, portable electronic monitoring systems for small vessels operating in small-scale fisheries. Jacob Isaac-Lowry, FlyWire Cameras, Inc.
Open Source Software Platform for Electronic Monitoring. Eric Torgerson, Chordata LLC
Query Learning for Fish Identification based on Uncertainty Measure and Diversity Constraint. Gaoang Wang, University of Washington
Intelligent Monitoring Systems for Fishery Applications. Farron Wallace, NMFS Alaska Fisheries Science Center
Cloud and Machine Learning Technologies for Electronic Monitoring Data Processing and Analysis. Penghai Wang, ERT Inc.
FishFace: Exploring the use of image recognition software in fisheries management, examples from Indonesia and the Western Central Pacific. Chris McGuire, The Nature Conservancy
Accelerating the Development of Automated Fish Identification for EM Systems: An Example from New England Groundfish Benjamin Woodward, CVision Consulting LLC
Tracking and Measurement of Catch Events in Stereo Video for Longline Fisheries. Tsung-Wei Huang, University of Washington
