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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.07137 |
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| _version_ | 1866911793447698432 |
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| author | Bezerra, Alexandre de Oliveira Mateus, Rodrigo Goncalves Weber, Vanessa Ap. de Moraes Weber, Fabricio de Lima de Arruda, Yasmin Alves Gomes, Rodrigo da Costa Higa, Gabriel Toshio Hirokawa Pistori, Hemerson |
| author_facet | Bezerra, Alexandre de Oliveira Mateus, Rodrigo Goncalves Weber, Vanessa Ap. de Moraes Weber, Fabricio de Lima de Arruda, Yasmin Alves Gomes, Rodrigo da Costa Higa, Gabriel Toshio Hirokawa Pistori, Hemerson |
| contents | Assessing the biotype of cattle through human visual inspection is a very common and important practice in precision cattle breeding. This paper presents the results of a correlation analysis between scores produced by humans for Nelore cattle and a variety of measurements that can be derived from images or other instruments. It also presents a study using the k-means algorithm to generate new ways of clustering a batch of cattle using the measurements that most correlate with the animal's body weight and visual scores. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_07137 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution Bezerra, Alexandre de Oliveira Mateus, Rodrigo Goncalves Weber, Vanessa Ap. de Moraes Weber, Fabricio de Lima de Arruda, Yasmin Alves Gomes, Rodrigo da Costa Higa, Gabriel Toshio Hirokawa Pistori, Hemerson Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Assessing the biotype of cattle through human visual inspection is a very common and important practice in precision cattle breeding. This paper presents the results of a correlation analysis between scores produced by humans for Nelore cattle and a variety of measurements that can be derived from images or other instruments. It also presents a study using the k-means algorithm to generate new ways of clustering a batch of cattle using the measurements that most correlate with the animal's body weight and visual scores. |
| title | Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2403.07137 |