Automated zooplankton size measurement using deep learning: Overcoming the limitations of traditiona...
Automated zooplankton size measurement using deep learning: Overcoming the limitations of traditional methods
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Lausanne: Frontiers Research Foundation
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English
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Lausanne: Frontiers Research Foundation
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Zooplankton size is a crucial indicator in marine ecosystems, reflecting demographic structure, species diversity and trophic status. Traditional methods for measuring zooplankton size, which involve direct sampling and microscopic analysis, are laborious and time-consuming. In situ imaging systems are useful sampling tools; however, the variation...
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Automated zooplankton size measurement using deep learning: Overcoming the limitations of traditional methods
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TN_cdi_doaj_primary_oai_doaj_org_article_4829648442f741b680ba694a5fd98a3a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4829648442f741b680ba694a5fd98a3a
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ISSN
2296-7745
E-ISSN
2296-7745
DOI
10.3389/fmars.2024.1341191
