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A decision-tree-based model for evaluating the thermal comfort of horses
Paula de Assis Maia, Ana; Robson de Medeiros Oliveira, Stanley; Jorge de Moura, Daniella; Sarubbi, Juliana; do Amaral Vercellino, Rimena; Batista Lemos Medeiros, Brenda; Roberto Griska, Paulo.
Affiliation
  • Paula de Assis Maia, Ana; UNICAMP FEAGRI.
  • Robson de Medeiros Oliveira, Stanley; UNICAMP FEAGRI ,Embrapa Informática Agropecuária.
  • Jorge de Moura, Daniella; UNICAMP FEAGRI.
  • Sarubbi, Juliana; Universidade Federal de Santa Maria CESNORS.
  • do Amaral Vercellino, Rimena; UNICAMP FEAGRI.
  • Batista Lemos Medeiros, Brenda; UNICAMP FEAGRI.
  • Roberto Griska, Paulo; Faculdade de Jaguariúna.
Sci. agric. ; 70(6)2013.
Article in En | VETINDEX | ID: vti-440740
Responsible library: BR68.1
ABSTRACT
Thermal comfort is of great importance in preserving body temperature homeostasis during thermal stress conditions. Although the thermal comfort of horses has been widely studied, there is no report of its relationship with surface temperature (T S). This study aimed to assess the potential of data mining techniques as a tool to associate surface temperature with thermal comfort of horses. T S was obtained using infrared thermography image processing. Physiological and environmental variables were used to define the predicted class, which classified thermal comfort as "comfort" and "discomfort". The variables of armpit, croup, breast and groin T S of horses and the predicted classes were then subjected to a machine learning process. All variables in the dataset were considered relevant for the classification problem and the decision-tree model yielded an accuracy rate of 74 %. The feature selection methods used to reduce computational cost and simplify predictive learning decreased model accuracy to 70 %; however, the model became simpler with easily interpretable rules. For both these selection methods and for the classification using all attributes, armpit and breast T S had a higher power rating for predicting thermal comfort. Data mining techniques show promise in the discovery of new variables associated with the thermal comfort of horses.
Key words
Full text: 1 Database: VETINDEX Language: En Journal: Sci. agric / Sci. agric. Year: 2013 Document type: Article
Full text: 1 Database: VETINDEX Language: En Journal: Sci. agric / Sci. agric. Year: 2013 Document type: Article