Image Classification for Silkworm using Deep Neural Network-Keras

Authors

  • Nishali M Suvarna  Department of Computer Science, Srinivas Institute of Technology, Valachil, Mangaluru, Karnataka, India
  • Sudarshan K  Department of Computer Science, Srinivas Institute of Technology, Valachil, Mangaluru, Karnataka, India
  • Nisha S Ail   Department of Computer Science, Srinivas Institute of Technology, Valachil, Mangaluru, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT2173139

Keywords:

Image Classification, Convolutional Neural Network, Keras, Deep Learning.

Abstract

Sericulture is a practice of cultivating silkworms to produce silk. This project is used to classify silkworms into diseased and undiseased, to increase the production of the silkworms which results in increasing the production of rich silk. To identify the unhealthy silkworm in the larvae stage so as to stop the destruction of entire batch of the silkworm. The high accuracy model is built .To extract the general features and then classify them under multiple based upon the features detected. To increase the quality and quantity of production of the silkworms. This project will help the farmers financially as the production increases.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nishali M Suvarna, Sudarshan K, Nisha S Ail , " Image Classification for Silkworm using Deep Neural Network-Keras, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.658-663, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT2173139