Automated recognition of deep-sea benthic megafauna in polymetallic nodule mining areas based on deep learning
The exploitation of deep-sea polymetallic nodules has attracted global attention. To mitigate its impact on deep-sea ecosystems, accurate identification of benthic megafauna is essential for developing science-based mining strategies. Deep learning has emerged as an promising approach in biological...
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Main Authors: | Guofan Long, Wei Song, Xiangchun Liu, Ziyao Fang, Jinqi An, Kun Liu, Yaqin Huang, Xuebao He |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-12-01
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Series: | Ecological Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125003280 |
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