DOAJ Open Access 2024

Exploring cluster analysis in Nelore cattle visual score attribution

Alexandre de Oliveira Bezerra Vanessa Ap. de Moraes Weber Fabricio de Lima Weber Yasmin Alves de Arruda Rodrigo da Costa Gomes +3 lainnya

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Abstrak

Assessing the phenotype 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.

Topik & Kata Kunci

Agriculture (General) Agricultural industries

Penulis (8)

Alexandre de Oliveira Bezerra

Vanessa Ap. de Moraes Weber

Fabricio de Lima Weber

Yasmin Alves de Arruda

Rodrigo da Costa Gomes

Gabriel Toshio Hirokawa Higa

Hemerson Pistori

Rodrigo Gonçalves Mateus

Format Sitasi

APA MLA BibTeX

Bezerra, A.d.O., Weber, V.A.d.M., Weber, F.d.L., Arruda, Y.A.d., Gomes, R.d.C., Higa, G.T.H. et al. (2024). Exploring cluster analysis in Nelore cattle visual score attribution. https://doi.org/10.1016/j.atech.2024.100489

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1016/j.atech.2024.100489
Akses: Open Access ✓