Fuzzy modeling in the prediction of climate indices and productive performance of quails kept in climate chamber

Abstract

ABSTRACT With the demand in the production at large-scale food, confinement of animals has become a necessity of the productive process because of the increase in production capacity and optimization of the spaces reserved for creations. In this context, the aim of this study was the development and validation of models using fuzzy logic for predicting climate indices and productive performance of European quails kept in a climatic chamber. The model developed was analyzed from two points of view; the first one took into account the prediction of climate indexes where the input variables were the temperature (°C) and relative humidity (%) of the air. In the second, related to the prediction of productive performance, the input variables were air temperature (°C) and age of the birds (weeks) while the output variables were the food intake (FI, g), water consumption (WC, g), weight gain (WG, g) and food conversion (FC g g-1) of the birds. The Mamdani method was used for the preparation of the rules, and in the defuzzification was applied the center of gravity method. Based on the results generated by the models and compared with the experimental data it was obtained coefficients of determination (R2) of: 0.9771; 0.9897; 0.9955; 0.9995; 0.9993 and 0.9788, for BGTHI, RTL, WC, FI, WG and FC, respectively.

Keywords

• coturniculture
• fuzzy logic
• productivity
• environmental quality