Modelling and Validation of Computer Vision Techniques to Assess Heart Rate, Eye Temperature, Ear-Base Temperature and Respiration Rate in Cattle
Maria Jorquera-Chavez, Sigfredo Fuentes, Frank R Dunshea, Robyn D Warner, Tomas Poblete, Ellen C Jongman
ANIMALS | MDPI | Published : 2019
Precision livestock farming has emerged with the aim of providing detailed information to detect and reduce problems related to animal management. This study aimed to develop and validate computer vision techniques to track required features of cattle face and to remotely assess eye temperature, ear-base temperature, respiration rate, and heart rate in cattle. Ten dairy cows were recorded during six handling procedures across two consecutive days using thermal infrared cameras and RGB (red, green, blue) video cameras. Simultaneously, core body temperature, respiration rate and heart rate were measured using more conventional 'invasive' methods to be compared with the data obtained with the p..View full abstract
Awarded by Australian Government through the Australian Research Council
Awarded by CONICYT PFCHA/Beca de Doctorado en el Extranjero Becas Chile
This research was supported by the Australian Government through the Australian Research Council (Grant number IH120100053). Maria Jorquera-Chavez acknowledge the support from the scholarship funded by the CONICYT PFCHA/Beca de Doctorado en el Extranjero Becas Chile,/2016 - 72170291.