Major topics and methods which fall within the scope of ‘digital animal production’ will be covered. Broad areas of focus include feed formulation, animal models and the application of machine learning within animal production systems.
Globally, animal production systems are rapidly digitalizing, capturing large volumes of data automatically, increasingly utilizing sensors to monitor individual animals, using machine learning algorithms to interpret sensor data and relying on complex computational/modelling systems for decision making and problem solving on farm. This technical leap forward in animal production systems requires a strong data/computational skill-set in our graduates. Therefore, this course will introduce students to major topics and methods that fall within the scope of ‘digital animal production’.
Credit Weight: 0.50
Semester Offering: Fall
Learn More: https://animalbiosciences.uoguelph.ca