Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution

Alexandre de Oliveira Bezerra; Fabricio de Lima Weber; Gabriel Toshio Hirokawa Higa; Hemerson Pistori; Rodrigo da Costa Gomes; Rodrigo Goncalves Mateus; Vanessa Ap. de Moraes Weber; Yasmin Alves de Arruda

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Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution

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arxiv 2403.07137 v1 pith:536VUZKG submitted 2024-03-11 eess.IV cs.CVcs.LG

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 This is my paper

classification eess.IVcs.CVcs.LG

keywords cattlevisualanalysismeasurementsnelorepresentsscoresalgorithm

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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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