Hybridization of artificial intelligence and mechanistic models to create 'intelligent' precision nutrition models for next generation dairy production

Published on Ontario Agri-Food Innovation Alliance (https://www.uoguelph.ca/alliance)

Hybridization of artificial intelligence and mechanistic models to create 'intelligent' precision nutrition models for next generation dairy production

Lead Applicant: Jennifer Ellis

Research Priority: Competitive Production Systems

Program Type: Tier 1

Funding Cycle: 2020/2021

Research Centre: NA

Research Summary: Combining two scientific methodologies—artificial intelligence and mechanistic modelling—to optimize precision nutrition systems for dairy.

Page category:

Competitive Production Systems Projects [1]

Connect

Questions or comments about our website? Please submit them using our web feedback form.

Contact us

1 Stone Road West, 2NW
Guelph ON N1G 4Y2

Office of Research, Agri-Food Partnership staff

Our vision

Our renewed vision: To invest in the knowledge, data and innovation necessary to:

Achieve assurance in food safety;
Protect animal, plant and public health and the environment;
Grow Ontario's capacity to produce food; and
Support a globally and domestically competitive agri-food sector

In partnership with

Ontario Ministry of Agriculture, Food and Rural Affairs logo

This website is managed by the University of Guelph. Views expressed here are the views of the University and do not necessarily reflect those of the Government of Ontario.

Source URL:https://www.uoguelph.ca/alliance/projects/artificial-intelligence-mechanistic-models-precision-nutrition-dairy-production

Links
[1] https://www.uoguelph.ca/alliance/projects/competitive-production-systems-projects