Subject: Precision farming / AI

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

A review highlighting the limitations of AI in automatically tracking cattle behavior, which is currently limited to describing actions without interpreting their context. The authors propose an AI framework that integrates context, multimodal data, and explainability to better assess 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

A review describing the welfare challenges associated with the intensification of poultry farming and the innovations (behavioral, sensor-based, AI) designed to address them, while emphasizing the need for validation and an interdisciplinary approach.

Document Types: Scientific review

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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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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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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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 showing that, while AI systems make it possible to monitor certain cattle behaviors automatically, there are major limitations on their contextual and social interpretation of welfare signals. The authors propose a welfare-centered AI framework, integrating multimodal data and contextual modelling to facilitate early detection of welfare risks and informed decision-making.

Document types: Scientific documents

Animal categories: Bovines

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Real-Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction

Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini

Published in 2025

Study presenting an AI-integrated framework that enables a robotic dog to autonomously analyze the behavior of cows and chickens in real time using detection (YOLO) and action recognition (DARTEMIS) models.

Document types: Scientific documents

Animal categories:Cattle, Poultry

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Behavior recognition of tail and ear biting in pigs using AI-based computer vision

Qinghua Guo, Clémence A.E.M. Orsini, Patrick P.J.H. Langenhuizen, Yue Sun, Shoujun Huo, Lisette E. van der Zande, Inonge Reimert, J. Elizabeth Bolhuis, Piter Bijma, Peter H.N. de With

Published in 2026

Study demonstrating the feasibility of video-based automated monitoring of tail and ear biting on commercial farms. A computer vision-based model (MViTv2-S) achieves approximately 72% accuracy without having to rely on detection of specific postures, paving the way for early-warning systems and breeding selection strategies to reduce these harmful behaviors.

Document Types: Scientific paper

Animal categories: Porcines

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Bien-être animal : avancées scientifiques et innovations pour des systèmes d’élevage durables

research group

Published in 2026

Special issue of INRAE Productions Animales featuring ten articles on scientific advances and technological innovations to develop sustainable livestock farming systems that incorporate animal welfare

Document Types: Scientific review

Animal categories: All animals

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Welfare Indicators for Aquaculture Research: Toolkits for Five Farmed European Fish Species

Chris Noble, Wout Abbink, René Alvestad, László Ardó, Marie-Laure Bégout, Nina Bloecher, Erik Burgerhout, Josep Calduch-Giner, Mauro Chivite-Alcalde, Petr Císař, Evan Durland, Åsa M. Espmark, Lynne Falconer, Martin Føre, Dimitra G. Georgopoulou, Karsten Heia, Gaute A. N. Helberg, David Izquierdo Gomez, Lill-Heidi Johansen, Gunhild Seljehaug Johansson, Kristbjörg Edda Jónsdóttir, Jelena Kolarevic, Aleksei Krasnov, Santhosh K. Kumaran, Bjarne Kvæstad, Thomas Larsson, Carlo C. Lazado, Angelico Madaro, Federico Moroni, Ingrid Måge, Jonatan Nilsson, Samuel Ortega, Nikos Papandroulakis, Jaume Pérez-Sánchez, Pamela M. Prentice, Sonia Rey Planellas, Bjørn Roth, Adrian Smith, Lars Erik Solberg, Orestis Stavrakidis-Zachou, Lars Helge Stien, Anja Striberny, Ragnhild Aven Svalheim, Bjørn-Steinar Sæther, Gerrit Timmerhaus, Hilde Toften, Linda Tschirren, Hans van de Vis, Elisabeth Ytteborg, Lucas A. Zena, Tone-Kari Knutsdatter Østbye

Published in 2026

Scientific summary highlighting the need to improve and harmonize fish welfare indicators in aquaculture research, taking into account species and life stages, in order to ensure animal protection, scientific quality, reliable results and reproducibility. The authors propose updated toolboxes of welfare indicators for five major species, incorporating euthanasia, sampling, data digitization, and European regulatory requirements into their review.

Document Types: Scientific review

Animal categories: Fish

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