Keyword: Identification

Face readers

Christa Lesté-Lasserre

Published in 2025

Article reviewing the multiple potential benefits of AI for the analysis of animals' facial expressions and detection of signs of pain or complex emotions, in which it sometimes performs better than human experts. Researchers are developing algorithms capable of interpreting the emotional states of dogs, cats, horses and primates using deep learning and annotated image databases. However, scientists remain wary of the lack of transparency in the decisions made by AI, and are seeking to combine facial analysis with other indicators to refine the assessment of animal welfare.

Document Types: Scientific review

Animal categories:Canine, Equine, Feline

Keywords:Animal-based measurement, Pain, Identification, Wellfare indicators

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Order of July 19, 2024 publishing the list of training organizations authorized to deliver continuing professional development training for those working with domestic pets.

L. Maurer

Published in 2024

Arrêté ministériel modifiant l’encadrement de la formation pour l’ACACED

Document types: Regulation/Certification

Animal categories: Canines, Felines

Key words:Animal trade, Education, Identification, Abuse

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Bien-être animal : vers un étiquetage informant les consommateurs ?

Julie Chiron

Published in 2025

Article summarizing the main conclusions of the expert report "Lignes directrices pour l’établissement de référentiels d’étiquetage du bien-être des animaux" (guidelines  for the establishment of animal welfare labeling standards), published by Anses.

Document types: Technical Paper

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

Keywords:Animal-based measurement, Identification, Welfare indicators, Housing, Societal issues

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Smart farming and Artificial Intelligence (AI): How can we ensure that animal welfare is a priority?

Marian Stamp Dawkins

Published in 2025

Summary exploring the potential benefits and risks of using livestock technology to improve animal welfare. Its success will depends on public and industry confidence, scientific proof of its effectiveness, and on demonstrable economic and environmental benefits.

Document Types: Scientific review

Animal categories: All animals

Keywords:Animal-based measurement, precision farmingIdentification, Welfare indicators

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Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities

Fitzgerald, A., Ioannou, C.C., Consuegra, S., Dowsey, A. and Garcia de Leaniz, C.

Published in 2025

Review article examining the practical applications of AI for monitoring animal welfare in aquaculture. Detection of diseases, parasites and stress-related behaviors remains limited, not least because of the practical difficulties of observations on commercial farms. Algorithmic advances such as YOLO could improve the accuracy and adaptability of these systems.

Document Types: Scientific review

Animal categories: Fish

Keywords:Adaptation of the animal to the environment, precision farmingIdentification, Well-being indicator, Living environment, Stress, Behavioral disorders

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Human-computer interactions with farm animals-enhancing welfare through precision livestock farming and artificial intelligence

Neethirajan S, Scott S, Mancini C, Boivin X, Strand E.

Published in 2024

Scientific synthesis exploring the potential of animal-computer interactions (ACI) to improve the individual welfare of farm animals, particularly in the context of precision farming and artificial intelligence.

Document Types: Scientific review

Animal categories:Cattle, Pigs, Poultry

Keywords:Animal adaptation to environment, Animal-based measurement, Animal housing, Precision farming, Identification, Welfare indicators, Housing, Modeling, One Welfare, livestock farming systemBehavioral disorders

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Machine learning-based understanding of aquatic animal behaviour in waters

Ignacio Martinez-Alpiste, Jean-Benoît de Tailly, Jose M. Alcaraz-Calero, Katherine A. Sloman, Mhairi E. Alexander, Qi Wang

Published in 2024

Scientific paper proposing an automated method for real-time monitoring of shrimp behavior, using an instance segmentation system based on machine learning. This system, which is 89% accurate at 30 fps, provides a way to overcome the challenges of working in harsh underwater environments, facilitating biological investigations and improving automated aquaculture systems.

Document Types: Scientific paper

Animal categories:Arthropods, Fish

Keywords:Precision farming, Experimentation, Identification, livestock farming systemBehavioral disorders

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European Parliament: written answer to question E-001190/2024: Use of eggs in processed foods - a level playing field

Question: Tom Vandenkendelaere (PPE). Answer: Mrs Kyriakides on behalf of the European Commission

Published in 2024

Answer from the European Commission to an MEP's question on the provenance of eggs used in processed products and the tightening of regulations on the accurate labelling of these products.

Document types: Regulation/Certification

Animal categories: Poultry

Keywords:Livestock buildings, Identification, Housing, Livestock system, Processing

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Bien-être des animaux : quels critères scientifiques pour construire un étiquetage des produits alimentaires ? Rapport de l’Anses

Anses

Published in 2024

News item on an Anses report recommending a harmonized comprehensive food product labeling system using animal-based scientific welfare indicators and also take into account the living conditions of their parents.

Document Types: Scientific review

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

Keywords:Adaptation of the environment to the animal, Animal-based measurement, farm building, Castration, Animal trade, Enrichment, Identification, Housing, Restraint equipment, Living environment, Mutilation, Prenatal, Sterilization, Stress, Livestock system, Transport, Behavioral disorders, Societal issues, Welfare indicators

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