Canadian Aberdeen Angus Association

Published purpose

This project aims to develop novel technology to capture phenomic data on traits that have long term and wide-reaching impacts on the profitability of the cattle industry, and support robust and accurate genetic selection tools for traits that are socially, economically, and environmentally important. This project includes using phenomic systems that have proven successful in other livestock industries (trained classifiers), and leveraging cutting edge technologies, such as computer vision, machine learning, and artificial intelligence (AI), to capture large volumes of accurate and unbiased data on traits. These technologies will be developed and applied towards subjective traits, carcass quality, and health and welfare traits, for beef, dairy, and beef crossed with dairy cattle.