Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)

Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)

Large quantities of mismanaged plastic waste are polluting and threatening the health of the blue planet. As such, vast amounts of this plastic waste found in the oceans originates from land. It finds its way to the open ocean through rivers, waterways and estuarine systems. Here we present a novel...

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Bibliographic Details
Main Authors: Mattis Wolf, Katelijn van den Berg, Shungudzemwoyo P Garaba, Nina Gnann, Klaus Sattler, Frederic Stahl, Oliver Zielinski
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
convolutional neural networks
plastic litter
remote sensing
detection
machine learning
river and beach ecosystems
Online Access:https://doi.org/10.1088/1748-9326/abbd01

Internet

https://doi.org/10.1088/1748-9326/abbd01

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