Automatic counting and classification of silkworm eggs using deep learning
We describe the use of convolution neural networks to identify and quantify the silkworm eggs that are laid on a sheet of paper by female silk moth. The method is also capable of identifying individual egg and classifying them into Hatched egg class and Unhatched egg class, thus outperforming image...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/36803 |
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