Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks

•Individual recognition of Pantanal cattle through the application of Convolutional Neural Networks (CNN).•Annotadet dataset with 27,849 images of Pantanal cattle, extracted from 212 videos.•Experimental results show that the architectural models used in the research achieved 99.86% accuracy. The ob...

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Veröffentlicht in:	Computers and electronics in agriculture 2020-08, Vol.175, p.105548, Article 105548
Hauptverfasser:	Weber, Fabricio de Lima, Weber, Vanessa Aparecida de Moraes, Menezes, Geazy Vilharva, Oliveira Junior, Adair da Silva, Alves, Daniela Arestides, de Oliveira, Marcus Vinicius Morais, Matsubara, Edson Takashi, Pistori, Hemerson, Abreu, Urbano Gomes Pinto de
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Agriculture, Multidisciplinary Artificial neural networks Cattle CNN Computer Science Computer Science, Interdisciplinary Applications Computer vision Individual cattle recognition Life Sciences & Biomedicine Neural networks Pantaneira cattle Recognition Science & Technology Technology
Online-Zugang:	Volltext
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