Automated River Plastic Monitoring Using Deep Learning and Cameras

Automated River Plastic Monitoring Using Deep Learning and Cameras

Abstract Quantifying plastic pollution on surface water is essential to understand and mitigate the impact of plastic pollution to the environment. Current monitoring methods such as visual counting are labor intensive. This limits the feasibility of scaling to long‐term monitoring at multiple locat...

Full description

Bibliographic Details
Main Authors: Colin vanLieshout, Kees vanOeveren, Tim vanEmmerik, Eric Postma
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-08-01
Series:Earth and Space Science
Subjects:
plastic pollution
object detection
automated monitoring
deep learning
artificial intelligence
river plastic
Online Access:https://doi.org/10.1029/2019EA000960

Internet

https://doi.org/10.1029/2019EA000960

Similar Items