Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution
- URL: http://arxiv.org/abs/2403.07137v1
- Date: Mon, 11 Mar 2024 20:07:05 GMT
- Title: Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution
- Authors: Alexandre de Oliveira Bezerra, Rodrigo Goncalves Mateus, Vanessa Ap.
de Moraes Weber, Fabricio de Lima Weber, Yasmin Alves de Arruda, Rodrigo da
Costa Gomes, Gabriel Toshio Hirokawa Higa, Hemerson Pistori
- Abstract summary: 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.
- Score: 36.44117994399959
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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