Grants and Contributions:

Title:
Deep Learning Models and Best Practices for Measuring the Effects of Seismic Oil and Gas Exploration on Commercial Fish
Agreement Number:
983180
Agreement Value:
$105,681.00
Agreement Date:
Jan 1, 2022 - Mar 31, 2026
Description:
The project aims to develop new machine learning models, analysis software, and best practices to detect and classify fish by species using combined video and acoustic data from hundreds of underwater cameras. The data is being collected to measure effects of seismic exploration on commercial fishing. This research will support a new research initiative between the National Research Council (NRC) and the Department of Fisheries and Oceans (DFO). DFO will provide data and domain expertise NRC will process video data and develop the necessary tools required to process these large and novel datasets. Dr. Whidden (MUN) and the PhD student (MUN) will provide expertise on machine learning applications to improve video and acoustic data analysis methods specifically tailored and optimized for the field campaign data collected by DFO.
Organization:
National Research Council Canada
Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Location:
Halifax, Nova Scotia, CA B3H 4R2
Reference Number:
172-2021-2022-Q3-983180
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
886806561
Recipient Type:
Academia
Recipient's Legal Name:
Dalhousie University
Federal Riding Name:
Halifax
Federal Riding Number:
12005
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

NAICS Code:
541710