UGC Approved Journal no 63975(19)

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Published in:

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2307690


Registration ID:
521852

Page Number

g674-g684

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Title

SILKWORM PUPA GENDER CLASSIFICATION USING TRANSFER LEARNING APPROACHES

Abstract

Sericulture is the process of cultivating silkworms for the production of silk.High quality production of silk without mixing with low quality is a great challenge faced in the silk production centers. One of the possibilities to overcome this issue is by separating male and female cocoons before extracting silk fibers from the cocoons as male cocoon silk fibers are finer than females. This study proposes a method for the classification of male and female cocoons with the help of images without destructing the cocoon. The shape features of the pupa are considered for the classification process and were obtained without cutting the cocoon. A novel point interpolation method is used for the computation of the width and height of the cocoon. Different dimensionality reduction methods are employed to enhance the performance of the model. The preprocessing features are fed to the powerful Transfer learning methods such as Visual Geometry Group (VGG16) and ResNet.

Key Words

Sericulture is the process of cultivating silkworms for the production of silk.High quality production of silk without mixing with low quality is a great challenge faced in the silk production centers. One of the possibilities to overcome this issue is by separating male and female cocoons before extracting silk fibers from the cocoons as male cocoon silk fibers are finer than females. This study proposes a method for the classification of male and female cocoons with the help of images without destructing the cocoon. The shape features of the pupa are considered for the classification process and were obtained without cutting the cocoon. A novel point interpolation method is used for the computation of the width and height of the cocoon. Different dimensionality reduction methods are employed to enhance the performance of the model. The preprocessing features are fed to the powerful Transfer learning methods such as Visual Geometry Group (VGG16) and ResNet.

Cite This Article

"SILKWORM PUPA GENDER CLASSIFICATION USING TRANSFER LEARNING APPROACHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g674-g684, July-2023, Available :http://www.jetir.org/papers/JETIR2307690.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SILKWORM PUPA GENDER CLASSIFICATION USING TRANSFER LEARNING APPROACHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg674-g684, July-2023, Available at : http://www.jetir.org/papers/JETIR2307690.pdf

Publication Details

Published Paper ID: JETIR2307690
Registration ID: 521852
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.35358
Page No: g674-g684
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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