Efficient screening of microplastics in soils using hyperspectral imaging in the short-wave infrared range coupled with machine learning – A laboratory-based experiment

Microplastics (MP) in soil have emerged as an environmental pollutant of increasing interest in recent years, emphasizing the need for efficient screening methods. Hyperspectral imaging in the visible and near-infrared (VNIR) and short-wave infrared (SWIR) coupled with machine learning (ML) have sho...

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Bibliographic Details

Published in:	Ecological Indicators
Main Authors:	Michael Seidel, Christopher Hutengs, Johanna Bauer, Birgit Schneider, Malte Ortner, Sören Thiele-Bruhn, Michael Vohland
Format:	Article
Language:	English
Published:	Elsevier 2025-04-01
Subjects:	Hyperspectral imaging SWIR Microplastics Machine learning Convolutional neural networks Detection limits
Online Access:	http://www.sciencedirect.com/science/article/pii/S1470160X25002328