Artificial neural networks simulation to define critical temperature of Fries Holland based on physiological responses

Artificial Neural Networks (ANN) simulation for industrial engineering is used to define critical temperature of Fries Holland (FH) heifer based on physiological responses on models to predict heart rate and respiratory rate, using ambient temperature and humidity inputs. The research was conducted using six dairy cattles in Bogor and in Jakarta. The heifers were fed at 6 am and 3 pm daily. The environmental condition (Ta, Rh, THI, and Va) and physiological responses (heart rate and respiration rate) were then measured for 14 days in two months at 1 h intervals started from 5 am to 8 pm. By us... Mehr ...