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Review of farmer-centered AI systems technologies in livestock operations

Taiwo, Gbadegesin Adetayo; Alameer, Ali; Mansouri, Taha

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Authors

Gbadegesin Adetayo Taiwo

Dr Ali Alameer A.Alameer1@salford.ac.uk
Lecturer in Artificial Intelligence



Abstract

The assessment of livestock welfare aids in keeping an eye on the health, physiology, and environment of the animals in order to prevent deterioration, detect injuries, stress, and sustain productivity. Because it puts more consumer pressure on farming industries to change how animals are treated to make them more humane, it has also grown to be a significant marketing tactic. Common visual welfare procedures followed by experts and vets could be expensive, subjective, and need specialized staff. Recent developments in artificial intelligence (AI) integrated with farmers’ expertise have aided in the creation of novel and cutting-edge livestock biometrics technologies that extract important physiological data linked to animal welfare. A thorough examination of physiological, behavioral, and health variables highlights AI's ability to provide accurate, rapid, and impartial assessments. Farmer-focused strategy: an emphasis on the crucial role that farmers play in the skillful adoption and prudent application of AI and sensor technologies, as well as conversations about developing logical, practical, and affordable solutions that are specific to the needs of farmers.

Citation

Taiwo, . G. A., Alameer, A., & Mansouri, T. (2024). Review of farmer-centered AI systems technologies in livestock operations. #Journal not on list, 19(1), https://doi.org/10.1079/cabireviews.2024.0038

Journal Article Type Article
Acceptance Date Aug 27, 2024
Online Publication Date Sep 25, 2024
Publication Date Sep 25, 2024
Deposit Date Sep 30, 2024
Publicly Available Date Sep 30, 2024
Journal CABI Reviews
Peer Reviewed Peer Reviewed
Volume 19
Issue 1
DOI https://doi.org/10.1079/cabireviews.2024.0038

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