“While several AI applications seek to optimize the day-to-day actions of the producer, others aim to improve production upstream, attempting to predict which decisions will pay off more in the long run.
For example, Éric Paquet, Assistant Professor in the Department of Animal Sciences at Université Laval, is working with other researchers to determine what makes a cow more resilient. To do this, they will combine the milk analyzes with other data such as cow genomics or the farm environment, and then they will train the AI to recognize the winning recipes. “By combining all types of information, we hope to be able to predict which will be the best cow for each environment”, summarizes Professor Paquet.
Other projects attempt to calculate the impacts of gestation conditions and the early life of the calf on the profitability of the adult cow (McGill University), or to predict up to 18 months in advance when the animal should be culled (UQAM). “
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