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 course introduces students to major topics and methods within 'digital animal production', including data management and manipulation, predictive growth curves, feed formulation, animal models, machine learning, sensors, and precision nutrition.
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 course introduces students to major topics and methods within 'digital animal production', including data management and manipulation, predictive growth curves, feed formulation, animal models, machine learning, sensors, and precision nutrition.
