Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution
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
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.