Thermal Comfort On Subtropical And Mediterranean Climate Analyzing Some Physiological Data Through Fuzzy Theory [conforto Térmico De Bovinos Leiteiros Confinados Em Clima Subtropical E Mediterrâneo…

By M. Perissinotto, D. J. Moura, V. F. Cruz, de Souza S.R.L., de Lima K.A.O., A. S. Mendes. 2009

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The objective of this study was to model and evaluate, through fuzzy logic, the level of thermal comfort experienced by housed animals as a function of their physiologic variables of rectal temperature (RT) and breath rate (BR), and setting their critical thresholds. The database was setup using two distinct environments: Subtropical climate (Sao Pedro area, Brazil) and mediterranean climate (Evora area, Portugal). Holstein cows temperature and breath rates were obtained in order to build a physiologic parameters database. meteorological data of environment temperature and air relative humidity were obtained for physical analysis during a 24 hours interval every 30 minutes. Data minning techniques were used for the initial data analysis aiming to build a decision making three and the further construction of rule database. For that, the computational program WEKA® was used. The results obtained were applied for the fuzzy logic application, using the Fuzzy Logic Toolbox do MATLAB® 6.1 software, according to AMENDOLA et al. (2005b). The use of this tool allowed the establishment of thermal comfort parameters for total confined Holsteins cows.

Subfields: Animal Science and Zoology, Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/c9b33ddb738ce6281dec66523d369e0ea0df3dff