Species‐level image classification with convolutional neural network enables insect identification from habitus images
Abstract Changes in insect biomass, abundance, and diversity are challenging to track at sufficient spatial, temporal, and taxonomic resolution. Camera traps can capture habitus images of ground‐dwelling insects. However, currently sampling involves manually detecting and identifying specimens. Here...
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| Main Authors: | , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Wiley
2020
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| Subjects: | |
| Online Access: | https://doaj.org/article/c01d4d02cbea445f9f5264d13dbac9e5 |
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