FUZZY LOGIC MODELING OF THE OCULAR TEMPERATURE OF CATTLE IN THERMAL STRESS CONDITIONS

This study proposes a fuzzy logic model capable of predicting the ocular temperature (OT) beef cattle by means infrared thermography. The goal this is to establish methodology for making decisions related animal welfare. experiment was carried out at commercial production farm, located in south Minas Gerais state, where twenty-eight Brahman (Bos Taurus Indicus) raised extensive systems were evaluated. Thermal images entire head collected order measure (OT). Concurrently, variables air dry bulb (DBT) and relative humidity (RH) recorded. developed using Mandani inference method, based on input DBT RH output variable OT, experimental data as reference. proposed system allows estimation with an error 1.71% coefficient determination R 2 0.8749. These values validate helping make better