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

Crossref DOI link: https://doi.org/10.1007/s11356-024-35289-0

Published Online: 2024-10-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Meyers, Nelle https://orcid.org/0000-0001-9205-6260
De Witte, Bavo

Schmidt, Natascha

Herzke, Dorte

Fuda, Jean-Luc

Vanavermaete, David

Janssen, Colin R.

Everaert, Gert
Funding

Funding for this research was provided by:

Belgian Federal Science Policy Office (B2/20E/P1/Andromeda)

Agence Nationale de la Recherche (ANR-19–383 JOCE-0002–01)

Norges Forskningsråd (311313/E40)
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Text and Data Mining valid from 2024-10-24

Version of Record valid from 2024-10-24
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Article History

Received: 15 May 2024

Accepted: 8 October 2024

First Online: 24 October 2024

Declarations

:

: Not applicable.

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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