Grants and Contributions:
Title:
Using AI and Camera Technology to Address Sustainability Traits in Canadian Beef and Dairy Cattle
Agreement Number:
SCAP-ASP-028
Agreement Value:
$1,627,270.00
Agreement Date:
Apr 1, 2024 - Mar 31, 2028
Description:
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.
Organization:
Agriculture and Agri-Food Canada
Expected Results:
The project aims to leverage AI and Camera technology to improve phenomics which can be used to develop effective genetic evaluation tools for currently assessed traits and new traits that address socio-economic and environmental concerns in the beef and dairy production in Canada.
Location:
Rocky View County, Alberta, CA T4A0E2
Reference Number:
235-2024-2025-Q1-00059
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
106842032
Recipient Type:
Not-for-profit organization or charity
Recipient's Legal Name:
Canadian Aberdeen Angus Association
Program:
AgriScience Program - Project Component
Program Purpose:
AgriScience Program Project component accelerate the pace of innovation by providing funding and support for pre-commercial science activities and cutting-edge research that benefits the agriculture and agri-food sector and Canadians.
NAICS Code:
1065