New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm

The results of this study confirmed the differences in primal cut traits by pig grouping and created a method to classify farms who ship non-uniform pigs. This is expected to provide indicators for improvement and supplementation to farms that ship uneven pigs, helping to enhance the production of standardized pigs at the farm level.

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Publication Details

Journal
Animal Bioscience
Published
2024-08-26
DOI
https://doi.org/10.5713/ab.24.0350
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm

Youngho Lim, Jungseok Choi, Jae-Young Kim, Gwantae Kim
Animal Bioscience
Neural Networks and Applications
article

New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm

Youngho Lim, Jungseok Choi, Jae-Young Kim, Gwantae Kim
article en

Abstract

The results of this study confirmed the differences in primal cut traits by pig grouping and created a method to classify farms who ship non-uniform pigs. This is expected to provide indicators for improvement and supplementation to farms that ship uneven pigs, helping to enhance the production of standardized pigs at the farm level.

Animal BioscienceVol. 38(2)
Chungbuk National University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Education, India
Zero hunger
Openalex Percentile: Top 88%
Neural Networks and Applications
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