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...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Geophysical Union (AGU)
2020-08-01
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| coleção: | Earth and Space Science |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1029/2019EA000960 |
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