Discipline: Ethology

Animal Board Invited Review: Intrinsic hedonic value, complexity, and possibility for action as essential characteristics of a welfare-friendly environment for animals

I. Veissier, C. Terlouw, R. Botreau, V. Deiss, S. Cowie

Published in 2026

Study examining how the hedonic value of the environment determines animal welfare. Welfare depends on a balance between positive emotions, environmental complexity and opportunities for behavioral expression: these factors must be optimized (rather than maximized), since an excess or a deficiency of any one of them can be harmful to welfare, with the optimal level varying by individual.

Document Types: Scientific review

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

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Horses Prefer Their Rider: A Strange Situation Test Adaptation Shows Behavioural Evidence for Partner-Specific Bonding

B.A. Kovács, J. Topál, A. Gergely

Published in 2026

A study showing that horses exhibit closeness to and a preference for their riders, suggesting the existence of a particular social bond, but without clear evidence that this reassures them when they are presented with stressors. 

Document Types: Scientific paper

Animal categories: Equines

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Environmental Enrichment in Aquaculture: Linking Welfare Goals to Practical Application

O. Spiliopoulos, S. Kadri, M. Sinclair, M. Vanderzwalmen, C. Brown

Published in 2026

A review summarizing current knowledge on environmental enrichment, a key strategy for improving the welfare of farmed fish. Its effectiveness depends on the specific context and requires a tailored approach.

Document Types: Scientific review

Animal categories: Fish

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Review: Understanding cattle social behavior in modern penned production systems with AI technology: Are we tracking welfare indicators?

A. Fuentes, S. Han, J. Liu, J. Park, S. Yoon, D.S. Park

Published in 2026

Review stressing the limitations of AI in automatically monitoring cattle behaviors, currently limited to describing actions independent of context. The authors propose an AI framework based on the principles of multimodal data integration, context-aware behavioral modeling, shared behavioral ontologies, human-in-the-loop system design, and explainable AI to improve assessment of animal welfare.

Document Types: Scientific review

Animal categories: Bovines

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Rethinking Poultry Welfare—Integrating Behavioral Science and Digital Innovations to Improve Animal Well-Being

Suresh Neethirajan

Published in 2026

Review article describing the welfare challenges associated with the intensification of poultry farming and the innovative solutions (behavioral, sensor-based, AI) that have been developed to address them, while emphasizing the need to validate and standardize such novel tools and to develop a sustainable interdisciplinary production pathway. 

Document Types: Scientific review

Animal categories: Poultry

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Precision Livestock Farming for Dairy Sheep: A Literature Review of IoT and Decision-Support Systems for Enhanced Management and Welfare

Mura M.C., Trimasse O., Carcangiu V., Luridiana S.

Published in 2026

Review showing that precision farming technologies have significant potential to improve the monitoring and welfare of dairy ewes, but their adoption continues to be constrained by economic, technical, and ethical factors.

Document Types: Scientific review

Animal categories: Ovines

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Behavioral indicators of positive welfare in broilers

Jenna Boewe, Marisa Erasmus

Published in 2026

The welfare of broiler chickens now includes positive states and the expression of natural behaviors, which are assessed using behavioral indicators and promoted through environmental enrichment.

Document Types: Scientific paper

Animal categories: Poultry

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Integration of computer vision-based behavioral monitoring and machine learning to enhance precision in health and welfare monitoring systems in pig farming

Eddiemar B. Lagua, Hong-Seok Mun, Md Sharifuzzaman, Md Kamrul Hasan, Ahsan Mehtab, Jin-Gu Kang, Young-Hwa Kim, Chul-Ju Yang

Published in 2026

Study showing that computer vision and machine learning are effective in detecting stress-related behaviors in pigs. The models perform very well (especially in binary), but the precise detection of certain states still needs improvement.

Document Types: Scientific paper

Animal categories: Porcines

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Bien-être et comportement des poules domestiques

Cécile Arnould

Published in 2026

Book detailing the sensory, social, emotional, and cognitive abilities of domestic chickens in order to improve recognition of their sensitivities and the importance of their welfare, drawing on scientific advances, changes in legislation, and the author's experience.

Document Types: Scientific work

Animal categories: Poultry

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Measuring shade use of dairy cattle at pasture with an on-cow light sensor: a case study

Lydiane Aubé, Bruno Meunier, Romain Lardy

Published in 2026

Study confirming the effectiveness of using a light sensor attached to grazing cows to automatically detect whether they are in the shade or in the sun. The technique works well and allows continuous monitoring of the cows' use of shade.

Document Types: Scientific paper

Animal categories: Bovines

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