Project

Electronic Monitoring (EM)

Supporting fishermen with cost-cutting tools

In an attempt to reduce the expense of at-sea monitoring, we are working with managers and fishermen to develop cost-effective alternatives. Electronic monitoring (EM) offers a way to significantly reduce the costs associated with at-sea monitors without compromising data quality or integrity. It has gained regional momentum, drawn national and international attention, and has proven to be a successful alternative in areas such as British Columbia’s groundfish fishery.

Project Goals:

  • Support informed decision-making in the New England Fisheries Management Council and other regionally relevant decision making bodies as they modernize fisheries and implement EM tools.
  • Design, execute, and evaluate an accessible EM model for high-volume vessels in the groundfish fishery.
  • Explore the potential of using EM data beyond fisheries monitoring, including in fisheries science and marketing.
  • Provide technical assistance to sectors implementing Amendment 23 to the Northeast Multispecies fishery management plan.

The transition to sector management has placed increased monitoring and reporting requirements on individual vessels. At-sea monitoring uses onboard human observers to verify a vessel's catch, area fished, and discard rate. While the costs for this traditional approach were fully funded since sector creations in New England, the long-term plan is to transition these costs to the fishermen themselves. At an expected rate of up to $800 a day, these fees would place a significant burden on the already strained industry.

EM is an innovative and cost-effective alternative to at-sea monitoring. The technology improves the at-sea monitoring process the same way electronic tolls have improved highway traffic, as it provides an accurate, safer, and more cost-effective alternative to human observers.

This modernized process replaces the on-board human observer with a suite of video cameras, computers, gear sensors, and GPS to record information about a vessel’s fishing activity. The video footage is then reviewed onshore and can be used to collect data comparable to that collected by at-sea monitors. For example, managers can calculate catch and discard rates using species identification and fish length data captured by the video. 

In this video, Former Technical Programs Manager Mark Hager introduces and explains electronic monitoring — a system of cameras and computers mounted onboard fishing vessels. This suite of technology could replace the majority of human observers, who currently monitor catch data.

The Maximized Retention Model

In 2018, the Gulf of Maine Research Institute, with its partners, launched a Maximized Retention Electronic Monitoring (MREM) program, in which a dockside monitoring (DSM) component run by the Northeast Fisheries Science Center (NEFSC) works in tandem with an EM component to provide a complete monitoring program of kept and discarded fish on vessels operating in the NE Multispecies Fishery.

The Maximized Retention EM Model is designed to evaluate an EM protocol feasible for large vessels in the NE Multispecies fishery and to ensure precise and accurate catch estimation, while reducing regulatory discards and increasing efficiency and accountability in the fishery.

Instead of recording discards at-sea, vessels in this program are exempt from minimum size requirements for allocated species, and all catch (both legal-and sublegal-sized) of allocated species are landed, documented through dealer reports, and verified by a dockside monitor. EM in this program is used as a means of documenting allocated species, if any, that are discarded at sea with the idea that in an operational program, EM would be used to determine compliance with MREM protocols rather than as a catch accounting tool.

Through this program, GMRI is pioneering novel technology solutions to reduce the cost, logistical, and catch handling burdens of EM, improve data transmission time, and build EM system and data utility for participants in the Maximized Retention project.

A camera with a round lens and a white circular base sits mounted on the wall of a ship.

Maximized Retention Electronic Monitoring in the Northeast Multispecies Groundfish Fishery

Year 1 Preliminary Report - September 20, 2019

In this edition of Field Notes, Heather Cronin and Captain Dana Hammond discuss one of the Gulf of Maine Research Institute's initiatives aimed at improving at-sea monitoring capabilities — electronic monitoring (EM).

Automation in Electronic Monitoring

Automation of visual imagery analysis has progressed at an amazing rate in the last decade. Many common tasks can now be fully automated, and automation is even used to enhance human performance of difficult tasks. As a result, many fisheries stakeholders in New England are actively pursuing machine learning as a solution to prohibitive human review, data transmission, and storage costs of video analysis. In an effort to advance the development automation in EM programs the Gulf of Maine Research Institute (GMRI) and its partners CVision AI and New England Marine Monitoring, hosted an electronic monitoring (EM) workshop entitled “Incorporating Machine Learning into Northeast EM programs” on January 23, 2020.

The goal of the workshop was to convene EM project stakeholders, AI specialists, NOAA staff, and data specialists to focus on the potential uses of machine learning in current and future programs, identify regional priorities, and begin to discuss the pathway for incorporating AI into video analysis. Learn more by exploring the workshop report (Integrated Machine Learning and Electronic Monitoring) or by watching a selection of presentations from the workshop.

Presentations from the "Incorporating Machine Learning into Northeast EM programs" workshop
Two circular cameras with white bases and round lenses are mounted on a ship's beam that crosses the image frame diagonally from the bottom left of the image to the top right.

Integrating Machine Learning and Electronic Monitoring

A Northeast Regional Workshop Report

To provide further support to groups progressing machine learning and automatic analysis, GMRI partnered with CVision AI to publish "Electronic Monitoring: Best Practices for Automation", a first-of-its-kind Electronic Monitoring guidance document that describes best practices for designing EM systems and programs suited for automated or semi-automated video analysis. This document presents a broad range of information for use as a guide to industry groups, governments, or EM vendors considering or currently developing automated EM programs, and provides technical detail for groups that have experience in automated EM programs and an interest in the lessons learned from New England.

Fisheries Technical Assistance Program Manager Heather Cronin stands aboard a ship next to a fishermen, as they pose and smile for the camera.

Electronic Monitoring: Best Practices for Automation

Guidance document by Benjamin Woodward, Mark Hager, and Heather Cronin.

Exploring the use of EM data

Many fishermen believe that accurate catch data beyond estimates from sea sampling are necessary to set accurate and enforceable catch limits and have adopted electronic monitoring (EM) as a means of achieving data collection and accountability objectives. Currently, over 20 groundfish vessels participating in EM in the region are positioned to provide a wealth of information to the seafood supply chain, fisheries researchers, and consumers. GMRI has taken on multiple initiatives to utilize and establish the effectiveness of an electronic monitoring system as a cost-effective data-collection platform for fishermen to contribute to fisheries research and access marketing opportunities.

Capt. Jim Ford, a participant in the MREM project, in partnership with the Nature Conservancy, designed a modification to the Ultra-Low-opening-trawl (ULOT) in response to the economic pressure imposed by landing GoM Atlantic cod under a fully accountable monitoring program. By adding a mesh “cod-barrier” across the anterior opening, the modified ULOT is intended to improve selectivity and reduce unwanted catch of GoM Atlantic cod by blocking and guiding cod over the top of the headrope, while profitable flatfish pass through the meshes and are caught in the trawl close to the bottom.

GMRI is testing this gear modification on Capt. Ford’s vessel, using the on-board EM technology for the majority of data-collection, and demonstrating the power of EM tools to collect fisheries-dependent data for research. Additionally, GMRI curates an archive of thousands of Atlantic cod samples and has continued to add to this archive since the 1970’s. Data on cod are very important to New England fishermen because it is a choke species that limits the harvest of abundant stocks. Vessels participating in the Maximized Retention program provide a valuable opportunity to obtain fish samples through exempted sublegal-sized fish landings, and many fishermen in EM programs see this data as an opportunity to provide broad spatial and temporal information to the scientific community. Through increased partnership between researchers and EM vessels, we have been able to fill important data gaps in the archive, providing an opportunity for fishermen to directly advance our collective understanding of the Cod fishery.
In collaboration with Eating with the Ecosystem, we are testing methods for rapid information exchange between EM fishermen and consumers, with the goal of cultivating a retail marketplace that is quickly adaptable to variation in the supply of different local species. This project is generating awareness that motivates action among seafood consumers regarding the availability of fish species, and electronic monitoring tools and data provide a unique opportunity to transmit fishing video and generate market recommendations to New England consumers.

Project Lead

Project Sponsors

  • National fish and wildlife foundation logo
  • Gordon and Betty Moore Foundation Logo
  • NOAA logo

Project Partners

  • The New England Marine Monitoring Logo
  • The CVision Logo
  • The Eating with the Ecosystem Logo
  • The Nature Conservancy logo
  • The Massachusettes Division of Marine Fisheries Logo
  • This is the logo for Integrated Monitoring

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