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

Publication type: Academic article

Journal: Environmental Science and Pollution Research

Volume: 31

Original version/DOI: https://doi.org/10.1007/s11356-024-35289-0

NVA: https://hdl.handle.net/11250/3177077

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