Principal component analysis in pig breeds identification
Maintaining the purity of pig breeds is an essential task for their economic value. The traditional breed identification methods through coat colour are prone to error due to huge intra-breed variation. This paper uses principal component Analysis (PCA) to classify the pig breeds using their images...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indian Council of Agricultural Research
2023-05-01
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| Series: | Indian Journal of Animal Sciences |
| Subjects: | |
| Online Access: | https://epubs.icar.org.in/index.php/IJAnS/article/view/131010 |
| _version_ | 1797833502801002496 |
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| author | SANKET DAN SATYENDRA NATH MANDAL PRITAM GHOSH SUBHRANIL MUSTAFI SANTANU BANIK |
| author_facet | SANKET DAN SATYENDRA NATH MANDAL PRITAM GHOSH SUBHRANIL MUSTAFI SANTANU BANIK |
| author_sort | SANKET DAN |
| collection | DOAJ |
| description |
Maintaining the purity of pig breeds is an essential task for their economic value. The traditional breed identification methods through coat colour are prone to error due to huge intra-breed variation. This paper uses principal component Analysis (PCA) to classify the pig breeds using their images. Individual images of five different pure breeds were captured from organized farms in India under both controlled and uncontrolled environments. Three different image sets were created, containing images in the controlled, uncontrolled, and mixed environment image sets. With 80:20 training to testing datasets, 93% accuracy was found in the proposed method of principal component analysis. Finally, two performance-based comparative analyses of our method were done with PCA-based methods and other renowned techniques used for animal breed identification, wherein our PCA method outperformed others in both comparative scenarios.
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| first_indexed | 2024-04-09T14:24:05Z |
| format | Article |
| id | doaj.art-9afd200ad0164cc5aff6509ab5abd5fd |
| institution | Directory Open Access Journal |
| issn | 0367-8318 2394-3327 |
| language | English |
| last_indexed | 2024-04-09T14:24:05Z |
| publishDate | 2023-05-01 |
| publisher | Indian Council of Agricultural Research |
| record_format | Article |
| series | Indian Journal of Animal Sciences |
| spelling | doaj.art-9afd200ad0164cc5aff6509ab5abd5fd2023-05-04T10:34:05ZengIndian Council of Agricultural ResearchIndian Journal of Animal Sciences0367-83182394-33272023-05-01930410.56093/ijans.v93i04.131010Principal component analysis in pig breeds identificationSANKET DAN0SATYENDRA NATH MANDAL1PRITAM GHOSH2SUBHRANIL MUSTAFI3SANTANU BANIK4Kalyani Government Engineering College, Kalyani, Nadia, West Bengal 741 235 IndiaKalyani Government Engineering College, Kalyani, Nadia, West Bengal 741 235 IndiaKalyani Government Engineering College, Kalyani, Nadia, West Bengal 741 235 IndiaKalyani Government Engineering College, Kalyani, Nadia, West Bengal 741 235 IndiaICAR-National Research Centre on Pig, Rani, Guwahati, Assam Maintaining the purity of pig breeds is an essential task for their economic value. The traditional breed identification methods through coat colour are prone to error due to huge intra-breed variation. This paper uses principal component Analysis (PCA) to classify the pig breeds using their images. Individual images of five different pure breeds were captured from organized farms in India under both controlled and uncontrolled environments. Three different image sets were created, containing images in the controlled, uncontrolled, and mixed environment image sets. With 80:20 training to testing datasets, 93% accuracy was found in the proposed method of principal component analysis. Finally, two performance-based comparative analyses of our method were done with PCA-based methods and other renowned techniques used for animal breed identification, wherein our PCA method outperformed others in both comparative scenarios. https://epubs.icar.org.in/index.php/IJAnS/article/view/131010Breed identification, Confusion matrix, Euclidean distance, Image space, Principal components |
| spellingShingle | SANKET DAN SATYENDRA NATH MANDAL PRITAM GHOSH SUBHRANIL MUSTAFI SANTANU BANIK Principal component analysis in pig breeds identification Indian Journal of Animal Sciences Breed identification, Confusion matrix, Euclidean distance, Image space, Principal components |
| title | Principal component analysis in pig breeds identification |
| title_full | Principal component analysis in pig breeds identification |
| title_fullStr | Principal component analysis in pig breeds identification |
| title_full_unstemmed | Principal component analysis in pig breeds identification |
| title_short | Principal component analysis in pig breeds identification |
| title_sort | principal component analysis in pig breeds identification |
| topic | Breed identification, Confusion matrix, Euclidean distance, Image space, Principal components |
| url | https://epubs.icar.org.in/index.php/IJAnS/article/view/131010 |
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