From microplastics to pixels: testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification.

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Title: From microplastics to pixels: testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification.
Authors: Meyers, Nelle1,2,3 (AUTHOR) nelle.meyers@vliz.be, De Witte, Bavo2 (AUTHOR), Schmidt, Natascha4,5 (AUTHOR), Herzke, Dorte4,6 (AUTHOR), Fuda, Jean-Luc5 (AUTHOR), Vanavermaete, David2 (AUTHOR), Janssen, Colin R.3,7 (AUTHOR), Everaert, Gert1 (AUTHOR)
Source: Environmental Science & Pollution Research. Nov2024, Vol. 31 Issue 52, p61860-61875. 16p.
Database: Environment Complete
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An: 180733786
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  Data: From microplastics to pixels: testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Science+%26+Pollution+Research%22">Environmental Science & Pollution Research</searchLink>. Nov2024, Vol. 31 Issue 52, p61860-61875. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=180733786
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        Value: 10.1007/s11356-024-35289-0
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        Text: English
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              Text: Nov2024
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