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Classification of environmental factors potentially motivating for dairy cows to access shade

Published online by Cambridge University Press:  09 July 2021

Matheus Deniz ,
Karolini Tenffen de Sousa ,
Isabelle Cordova Gomes ,
Marcos Martinez do Vale  and
João Ricardo Dittrich
Matheus Deniz*
Affiliation:
Programa de Pós-Graduação em Zootecnia, Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil Laboratório de Inovações Tecnológicas em Zootecnia (LITEZ – UFPR), Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil
Karolini Tenffen de Sousa
Affiliation:
Programa de Pós-Graduação em Zootecnia, Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil Laboratório de Inovações Tecnológicas em Zootecnia (LITEZ – UFPR), Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil
Isabelle Cordova Gomes
Affiliation:
Laboratório de Inovações Tecnológicas em Zootecnia (LITEZ – UFPR), Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil
Marcos Martinez do Vale
Affiliation:
Laboratório de Inovações Tecnológicas em Zootecnia (LITEZ – UFPR), Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil
João Ricardo Dittrich
Affiliation:
Programa de Pós-Graduação em Zootecnia, Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil Laboratório de Inovações Tecnológicas em Zootecnia (LITEZ – UFPR), Departamento de Zootecnia, Universidade Federal do Paraná, Curitiba, Brazil
*
Author for correspondence: Matheus Deniz, Email: matheus-utfpr@hotmail.com
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Abstract

The aim of this Research Communication was to apply the data mining technique to classify which environmental factors have the potential to motivate dairy cows to access natural shade. We defined two different areas at the silvopastoral system: shaded and sunny. Environmental factors and the frequency that dairy cows used each area were measured during four days, for 8 h each day. The shaded areas were the most used by dairy cows and presented the lowest mean values of all environmental factors. Solar radiation was the environmental factor with most potential to classify the dairy cow's decision to access shaded areas. Data mining is a machine learning technique with great potential to characterize the influence of the thermal environment in the cows' decision at the pasture.

Keywords

animal distributionbehavioural patterndecision treepastureprecision livestock farming
Type
Research Article
Information
Journal of Dairy Research , Volume 88 , Issue 3 , August 2021 , pp. 274 - 277
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation

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