Development of benthic monitoring approaches fo rsalmon aquaculture sites using machine learning, hydroacoustic data and bacterial eDNA

Armstrong, Ethan Gerald (2019) Development of benthic monitoring approaches fo rsalmon aquaculture sites using machine learning, hydroacoustic data and bacterial eDNA. Masters thesis, Memorial University of Newfoundland.

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Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/14072
Item ID: 14072
Additional Information: Includes bibliographical references. -- Restricted until 2020-09-11.
Keywords: Aquaculture, Environmental monitoring, Machine Learning, Organic enrichment, Bacterial eDNA
Department(s): Science, Faculty of > Biology
Date: June 2019
Date Type: Submission
Library of Congress Subject Heading: Salmon farming--Data processing; Machine learning.

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