Subject: Precision farming / AI

The use of animal-based measures collected in slaughterhouses to monitor the level of welfare of Equidae in establishments: EFSA scientific NCPs Network exercise

European Food Safety Authority (EFSA), Marika Vitali, Giulia Cecchinato, Aitana López Baquero, Beatrice Benedetti, Denise Candiani, Michaela Hempen, Yves Van der Stede, Chiara Fabris

Published in 2025

Exercise carried out by EFSA's scientific network of national contact points to identify and prioritize animal-based measures collected at abattoirs to retrospectively monitor the welfare of equidae, to provide evidence for a future scientific opinion.

Document types: Technical Paper

Animal categories: Equines

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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Behavioural adaptations of livestock to environmental stressors: implications for welfare and productivity

Oke OE, Eletu TA, Akosile OA, Fasasi LO, Adeniji OE, Ojedokun MZ, Oni AI

Published in 2025

Synthetic article analyzing behavioral adaptations associated with environmental stressors in livestock and emphasizing the importance of assessment tools and targeted management strategies for the improvement of animal welfare.

Document Types: Scientific review

Animal categories: Bovines, Caprines, Ovines, Porcines, Poultry

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Research and innovation perspectives: poultry welfare in 2050

Shawna L. Weimer, Elena Myhre, Anne-Marie Neeteson-van Nieuwenhoven, Rodolfo Arreaga, Kate Barger, Ruth C. Newberry, Katy J. Tarrant, Gregory S. Fraley

Published in 2025

Open letter, published in Poultry Science, presenting the key findings of global discussions led by the International Poultry Welfare Alliance (IPWA) on the future state of poultry welfare to 2050. Involving more than 200 participants, these discussions included housing and management, positive welfare measures, nutrition, artificial intelligence and the sustainability of production systems.

Document types: Technical Paper

Animal categories: Poultry

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Using deep learning models to decode emotional states in horses

Phelipon, R., Lansade, L. & Razzaq, M.

Published in 2025

Scientific article describing the development of two machine learning models for predicting  emotional states in ridden horses based on head and body images.

Document Types: Scientific paper

Animal categories: Equines

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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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Systematic Review of Acoustic Monitoring in Livestock Farming: Vocalization Patterns and Sound Source Analysis

Ramos Niño JN, Sousa FCd, Oliveira CEA, Coelho ALdF, Hernandez RO, Barbari M.

Published in 2025

Systematic review showing that environmental sounds and animal vocalizations have promise as non-invasive indicators of animal welfare. Despite technological advances, challenges remain in terms of standardization, physiological validation and practical application under real-life commercial conditions.

Document Types: Scientific review

Animal categories:Cattle, Pigs, Poultry

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