The role of artificial intelligence in the health and welfare of farm animals
DOI:
https://doi.org/10.35381/s.v.v8i2.4168Keywords:
Pathology veterinary, artificial intelligence, anatomy veterinary, (Source: DeCS)Abstract
Objective: to analyse the role of artificial intelligence in farm animal health and welfare. Method: Descriptive documentary. Conclusion: Artificial intelligence is redefining the livestock health and welfare landscape, providing powerful tools that enable more accurate monitoring, early disease detection and optimisation of farm animal living conditions. These advances not only improve the efficiency and sustainability of animal production, but also promote more ethical and welfare-focused practices.
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Picault S, Niang G, Sicard V, Sorin-Dupont B, Assié S, Ezanno P. Leveraging artificial intelligence and software engineering methods in epidemiology for the co-creation of decision-support tools based on mechanistic models. Prev Vet Med. 2024;228:106233. https://doi.org/10.1016/j.prevetmed.2024.106233
Franzo G, Legnardi M, Faustini G, Tucciarone CM, Cecchinato M. When Everything Becomes Bigger: Big Data for Big Poultry Production. Animals (Basel). 2023;13(11):1804. https://doi.org/10.3390/ani13111804
Voogt AM, Schrijver RS, Temürhan M, Bongers JH, Sijm DTHM. Opportunities for Regulatory Authorities to Assess Animal-Based Measures at the Slaughterhouse Using Sensor Technology and Artificial Intelligence: A Review. Animals (Basel). 2023;13(19):3028. https://doi.org/10.3390/ani13193028
Wang S, Jiang H, Qiao Y, Jiang S, Lin H, Sun Q. The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming. Sensors (Basel). 2022;22(17):6541. https://doi.org/10.3390/s22176541
Čobanović N, Magrin L. Editorial: Health and welfare problems of farm animals: prevalence, risk factors, consequences and possible prevention solutions. Front Vet Sci. 2023;10:1238852. https://doi.org/10.3389/fvets.2023.1238852
Depuru BK, Putsala S, Mishra P. Automating poultry farm management with artificial intelligence: Real-time detection and tracking of broiler chickens for enhanced and efficient health monitoring. Trop Anim Health Prod. 2024;56(2):75. https://doi.org/10.1007/s11250-024-03922-2
Volkmann N, Kulig B, Hoppe S, Stracke J, Hensel O, Kemper N. On-farm detection of claw lesions in dairy cows based on acoustic analyses and machine learning. J Dairy Sci. 2021;104(5):5921-5931. https://doi.org/10.3168/jds.2020-19206
Fuentes S, Gonzalez Viejo C, Tongson E, Dunshea FR. The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence. Anim Health Res Rev. 2022;23(1):59-71. https://doi.org/10.1017/S1466252321000177
Tu WC, Tsai WL, Lee CH, et al. Application and effectiveness of artificial intelligence for the border management of imported frozen fish in Taiwan. J Food Drug Anal. 2024;32(1):21-38. https://doi.org/10.38212/2224-6614.3490
Siachos N, Neary JM, Smith RF, Oikonomou G. Automated dairy cattle lameness detection utilizing the power of artificial intelligence; current status quo and future research opportunities. Vet J. 2024;304:106091. https://doi.org/10.1016/j.tvjl.2024.106091
de Paula TMCG, de Sousa RV, Sarmiento MP, et al. Deep learning pose detection model for sow locomotion. Sci Rep. 2024;14(1):16401. https://doi.org/10.1038/s41598-024-62151-7
Rosengart S, Chuppava B, Trost LS, et al. Characteristics of thermal images of the mammary gland and of performance in sows differing in health status and parity. Front Vet Sci. 2022;9:920302. https://doi.org/10.3389/fvets.2022.920302
Kaur U, Malacco VMR, Bai H, et al. Invited review: integration of technologies and systems for precision animal agriculture-a case study on precision dairy farming. J Anim Sci. 2023;101:skad206. https://doi.org/10.1093/jas/skad206
Shahinfar S, Khansefid M, Haile-Mariam M, Pryce JE. Machine learning approaches for the prediction of lameness in dairy cows. Animal. 2021;15(11):100391. https://doi.org/10.1016/j.animal.2021.100391
Morrone S, Dimauro C, Gambella F, Cappai MG. Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions. Sensors (Basel). 2022;22(12):4319. https://doi.org/10.3390/s22124319
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Copyright (c) 2024 Karen Michelle Poaquiza-Tiban, Jordy Andree Cuito-Balarezo, Klever Fabian López-Andrade, Darwin Rafael Villamarín-Barragán

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