Justin Macor
Research Details
Thesis Name
Sensor-based Detection of Calving Events and Dystocia in Extensive Beef SystemsThesis Abstract
Dystocia is a significant welfare and production issue in cattle breeding systems. Current methods for identifying dystocia are subjective, laborious, and are mostly unsuitable for extensively grazed beef systems. Remote, on-animal sensing technologies have the potential to overcome some of these challenges. This project will evaluate the use of on-animal sensing technology to remotely and autonomously detect behaviours indicative of calving difficulty.
Why My Research is Important/Impacts
The results from this project could be integral in the eventual development of a commercially viable tool for detection of animals struggling to calf. Detection of dystocia in extensive beef systems will result in improved management practices reducing incidence and therefore improving animal welfare and productivity.Â
