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

Publication details

Publication type

Academic article

Journal

Environmental Science and Pollution Research

ISSN

Print: 0944-1344
Online: 1614-7499

Volume

31

Pages

61860-61875

• DOI https://doi.org/10.1007/s11356-024-35289-0
• Handle https://hdl.handle.net/11250/3177077
• CHANNEL https://kanalregister.hkdir.no/publiseringskanaler/info/tidsskrift?pid=AC63F1A2-84FF-4E7C-8A64-A2E5ACF6022A

Projects

Analysis techniques for quantifying nano-and microplastic particles and their degradation in the marine environment (ANDROMEDA)