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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Bibliographic Details
Main Authors: Shreedhar Rangappa, A. Ajay, G.S. Rajanna
Format: Default Conference proceeding
Published: 2019
Subjects:
Mechanical engineering not elsewhere classified
Deep learning
Convolution neural network
Datasets
Accuracy
Silkworms
Fe-cundity
Hatching Percentage
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/36803
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https://hdl.handle.net/2134/36803

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