Vasseur, Elsa; Diallo, Abdoulaye Baniré
Improving welfare through inclusive innovation: The story of WELL-E. [External] Miscellaneous
2025.
Abstract | Links | BibTeX | Tags: Conférence plénière
@misc{vasseur_improving_2025,
title = {Improving welfare through inclusive innovation: The story of WELL-E.},
author = {Elsa Vasseur and Abdoulaye Baniré Diallo},
url = {https://www.adsa.org/Meetings/2025-Annual-Meeting/Program},
year = {2025},
date = {2025-06-01},
urldate = {2025-06-01},
address = {Louisville, Kentucky},
abstract = {The welfare of animals managed by humans is integrally tied to, and ultimately dependent on, the welfare of the humans doing the managing. Any sustainable and effective change is thus dependent on collaborative solutions that address the needs of both the animals and people involved. Our approach relies on the use of IoT, computer vision, and machine learning to improve our ability to detect and monitor changes in animal welfare and longevity earlier than possible with visual methods, and to generate predictions to aid on-farm decision-making, ensuring that resources and efforts are focused on the animals most likely to succeed in the long term. Grounded in industry partnerships, members of the dairy community sit on both the scientific and management committees, where they contribute to research orientations, leading to the co-creation of research projects and initiatives. This collaborative approach not only ensures the applicability and relevance of all research but allows for continuous feedback between the research and industry environments, creating a true digital living lab.
Launched in 2023, our team has been conducting pilot research on two farms and working directly with staff and management to co-develop and pilot new practices and techniques for the management of animal welfare, to be disseminated across Canada and beyond. We work towards major paradigm shifts in both research (changing the way animal behaviour and complex states are understood through new analytic techniques) and practice (our research informing major changes in the Canadian Dairy Code of Practice), with the goal of providing practical, long-term solutions for the improvement of animal welfare, while simultaneously addressing real-world problems farmers face along the way. Our collaborative approach promotes the responsible integration of new technologies to the dairy industry and empowers producers to be at the forefront of positive welfare developments, ensuring their sustainability and reinforcing the importance of stakeholder participation in innovative scientific research.},
keywords = {Conférence plénière},
pubstate = {published},
tppubtype = {misc}
}
The welfare of animals managed by humans is integrally tied to, and ultimately dependent on, the welfare of the humans doing the managing. Any sustainable and effective change is thus dependent on collaborative solutions that address the needs of both the animals and people involved. Our approach relies on the use of IoT, computer vision, and machine learning to improve our ability to detect and monitor changes in animal welfare and longevity earlier than possible with visual methods, and to generate predictions to aid on-farm decision-making, ensuring that resources and efforts are focused on the animals most likely to succeed in the long term. Grounded in industry partnerships, members of the dairy community sit on both the scientific and management committees, where they contribute to research orientations, leading to the co-creation of research projects and initiatives. This collaborative approach not only ensures the applicability and relevance of all research but allows for continuous feedback between the research and industry environments, creating a true digital living lab.
Launched in 2023, our team has been conducting pilot research on two farms and working directly with staff and management to co-develop and pilot new practices and techniques for the management of animal welfare, to be disseminated across Canada and beyond. We work towards major paradigm shifts in both research (changing the way animal behaviour and complex states are understood through new analytic techniques) and practice (our research informing major changes in the Canadian Dairy Code of Practice), with the goal of providing practical, long-term solutions for the improvement of animal welfare, while simultaneously addressing real-world problems farmers face along the way. Our collaborative approach promotes the responsible integration of new technologies to the dairy industry and empowers producers to be at the forefront of positive welfare developments, ensuring their sustainability and reinforcing the importance of stakeholder participation in innovative scientific research.
Launched in 2023, our team has been conducting pilot research on two farms and working directly with staff and management to co-develop and pilot new practices and techniques for the management of animal welfare, to be disseminated across Canada and beyond. We work towards major paradigm shifts in both research (changing the way animal behaviour and complex states are understood through new analytic techniques) and practice (our research informing major changes in the Canadian Dairy Code of Practice), with the goal of providing practical, long-term solutions for the improvement of animal welfare, while simultaneously addressing real-world problems farmers face along the way. Our collaborative approach promotes the responsible integration of new technologies to the dairy industry and empowers producers to be at the forefront of positive welfare developments, ensuring their sustainability and reinforcing the importance of stakeholder participation in innovative scientific research.
Vasseur, Elsa; Diallo, Abdoulaye Baniré
WELL-E : Research and Innovation Chair in Animal Welfare and Artificial Intelligence [External] Miscellaneous
2024.
Links | BibTeX | Tags: Conférence plénière
@misc{vasseur_well-e_2024,
title = {WELL-E : Research and Innovation Chair in Animal Welfare and Artificial Intelligence},
author = {Elsa Vasseur and Abdoulaye Baniré Diallo},
url = {https://www.mcgill.ca/cdsi/mccais},
year = {2024},
date = {2024-12-01},
urldate = {2024-05-01},
address = {Montreal, Canada},
keywords = {Conférence plénière},
pubstate = {published},
tppubtype = {misc}
}
Vasseur, Elsa; Diallo, Abdoulaye Baniré
L'utilisation de l'intelligence artificielle en bien-être animal [External] Miscellaneous
2024.
Links | BibTeX | Tags: Conférence plénière
@misc{vasseur_utilisation_2024,
title = {L'utilisation de l'intelligence artificielle en bien-être animal},
author = {Elsa Vasseur and Abdoulaye Baniré Diallo},
url = {https://asio.oaq.qc.ca/Web/MyCatalog/ViewP?pid=Hz%2BL4eQ7kA0l7a2znDtCow%3D%3D&id=tCNTM8jNtNCLZwucN9Fz7g%3D%3D},
year = {2024},
date = {2024-11-01},
urldate = {2024-11-01},
address = {Drummondville, Canada},
keywords = {Conférence plénière},
pubstate = {published},
tppubtype = {misc}
}
Vasseur, Elsa; Diallo, Abdoulaye Baniré
WELL-E: Enhancing Animal Welfare & Longevity through Artificial Intelligence and Internet of Things Dedicated to Dairy Farming [External] Miscellaneous
2024.
Links | BibTeX | Tags: Conférence plénière
@misc{vasseur_well-e_2024-2,
title = {WELL-E: Enhancing Animal Welfare & Longevity through Artificial Intelligence and Internet of Things Dedicated to Dairy Farming},
author = {Elsa Vasseur and Abdoulaye Baniré Diallo},
url = {https://eaap2024.org/session/m221s60/},
year = {2024},
date = {2024-09-01},
urldate = {2024-12-01},
address = {Florence, Italy},
keywords = {Conférence plénière},
pubstate = {published},
tppubtype = {misc}
}
Vasseur, Elsa
The WELL-E Project: Focussing on the cow’s experience leveraging AI and IoT [External] Miscellaneous
2024.
Links | BibTeX | Tags: Conférence plénière
@misc{vasseur_well-e_2024-1,
title = {The WELL-E Project: Focussing on the cow’s experience leveraging AI and IoT},
author = {Elsa Vasseur},
url = {https://agriculture.canada.ca/en},
year = {2024},
date = {2024-05-01},
urldate = {2024-09-01},
address = {Webinar},
keywords = {Conférence plénière},
pubstate = {published},
tppubtype = {misc}
}