Image Classification for Silkworm using Deep Neural Network-Keras-Reference-Cited by-同舟云学术

Image Classification for Silkworm using Deep Neural Network-Keras

Published:2021-06-12 Issue: Volume: Page:658-663
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Suvarna Nishali M¹,K Sudarshan¹,Ail Nisha S¹

Affiliation:

1. Department of Computer Science, Srinivas Institute of Technology, Valachil, Mangaluru, Karnataka, India

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.

Publisher

Technoscience Academy

Subject

General Medicine

Reference8 articles.

1. Tushar Jajodia, Pankaj Garg ,”Image Classification – Cat and Dog Images”.

2. S. Sakthivel , C. Angaleswari , P. U. Mahalingam,Department of Biology, Gandhigram Rural Institute- Deemed University, Gandhigram, Dindigul ,” Isolation and identification of bacteria responsible for flacherie in silkworms ”.

3. Lan Chen, Zhiyuan Jiang, and Zhiyong Wang, “Image Recognition Based on Convolution Neural Network with Small Data Setl”.

4. Dehai zhang1 , Menglong cui1 , Yun yang 1 , Po yang 1,2, (member, ieee), Cheng xie 1 , (member, ieee), Di liu 1 , Beibei yu1 , and Zhibo chen1 ,“Knowledge Graph-Based Image Classification Refinement ”.

5. Taghi M.Khoshgoftaar,Connor Shorten ,”A survey on Image Data Augmentation for Deep Learning”.

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1. Survey on Sericulture: An IOT-based Cocoon Worms Monitoring for Disease Identification and Management for Quality Silk Rearing.;International Journal of Advanced Research in Science, Communication and Technology;2024-02-06

2. Exploration of Convolutional Neural Network Models for Accurate Classification of Severity in Silkworms;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06