Discipline: Computer science / electronics

BeBoP : Evaluer le bien-être des taurillons : des indicateurs revus pour gagner en faisabilité sans perdre en fiabilité

Agathe Cheype, Beatrice Mounaix, Jerome Manceau, Vincent Gauthier, Quentin Delahaye, Claire Dugue, Laure-Anne Merle, Xavier Boivin

Published in 2025

A study validating 14 welfare indicators for young bull calves. They are generally reliable and can be used routinely despite certain lmitations on direct observations. To help overcome the latter, a video-based Deep Learning tool has performed promisingly, automating behavioral measurements and enhancing their reliability. 

Document Types: Scientific paper

Animal categories: Bovines

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Advancements in machine learning applications in poultry farming: a literature review

Naeem M, Jia Z, Wang J, Poudel S, Manjankattil S, Adhikari Y, Bailey M, Bourassa D

Published in 2025

Review highlighting the potential of machine learning to optimize poultry production, improve animal welfare and detect disease at an early stage using sophisticated predictive and monitoring tools. It does, however, highlight the challenges surrounding the quality and interpretation of data and models, and their use on the ground. 

Document Types: Scientific review

Animal categories: Poultry

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