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From Fish to Fowl: How AI is Saving a Commercial Broiler Farm

This project utilizes Large Language Models (LLMs) and cross-species transfer learning (chicken and salmon data) to predict broiler livability. By analyzing smart farm sensor data and production factors like temperature changes and FCR, the model achieves a high-reliability prediction (less than 2% error). The outcome provides farmers with AI-driven recommendations to optimize conditions and significantly reduce chick loss during the critical first ten days.

Présentateur :

Rezwan Ghaffarzadeh Derakhshan
Faculté de médecine vétérinaire, Université de Montréal, 3200 Sicotte, St-Hyacinthe (QC) J2S 2M2
rezwan.ghaffarzadeh.derakhshan@umontreal.ca

Superviseur(e) principal(e) :

Auteurs, coauteurs : Rezwan Ghaffarzadeh Derakhshan,
FMV, Universite de Montreal

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