Gbadegesin Adetayo Taiwo
Review of farmer-centered AI systems technologies in livestock operations
Taiwo, Gbadegesin Adetayo; Alameer, Ali; Mansouri, Taha
Authors
Dr Ali Alameer A.Alameer1@salford.ac.uk
Lecturer in Artificial Intelligence
Dr Taha Mansouri T.Mansouri@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.
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 |
Electronic ISSN | 1749-8848 |
Peer Reviewed | Peer Reviewed |
Volume | 19 |
Issue | 1 |
DOI | https://doi.org/10.1079/cabireviews.2024.0038 |
Files
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(342 Kb)
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