Innovative Livestock: A Survey of artificial intelligence techniques in livestock farming management
| dc.contributor.author | Mijwil, Maad M. | |
| dc.contributor.author | Adelaja, Oluwaseun | |
| dc.contributor.author | Badr, Amr | |
| dc.contributor.author | Ali, Guma | |
| dc.contributor.author | Buruga, Bosco Apparatus | |
| dc.contributor.author | Pudasaini, Pramila | |
| dc.date.accessioned | 2024-07-02T16:29:38Z | |
| dc.date.available | 2024-07-02T16:29:38Z | |
| dc.date.issued | 2023-12-30 | |
| dc.description.abstract | Modern technology has recently become a meaningful part of all life sectors, as software, sensors, smart machines, and expert systems are successfully integrated into the physical environment. This technology relies in its work on artificial intelligence techniques to make the right decisions at the right time. These technologies have a significant role in improving productivity, product quality, and industry outputs by significantly reducing human labour and errors that humans may cause. Artificial intelligence techniques are increasingly being integrated into animal husbandry and animal revolution management because they provide advantages and means that serve agriculturalists. These techniques monitor the emotional state of animals, milk production and herd management, feeding habits, the movement of animals, and their health status. AI-powered sensors can monitor the health of livestock and detect early signs of illness or stress to which they are exposed. Also, these techniques contribute to assisting agriculturalists in customising feeding programs, reducing waste, and improving product quality. This article will discuss the role of artificial intelligence techniques in animal control, farm management, disease surveillance, and sustainable resource optimisation practices. | en_US |
| dc.identifier.citation | Mijwil, M. M., Adelaja, O., Badr, A., Guma, A., Buruga, B. A., & Pudasaini, P. (2023). Innovative Livestock: A Survey of artificial intelligence techniques in livestock farming management. Wasit Journal of Computer and Mathematics Science, 2(4), 99–106. https://doi.org/10.31185/wjcms.206 | en_US |
| dc.identifier.issn | 2788-5879 | |
| dc.identifier.uri | https://dir.muni.ac.ug/handle/20.500.12260/647 | |
| dc.language.iso | en | en_US |
| dc.publisher | Wasit Journal of Computer and Mathematics Science | en_US |
| dc.subject | Artificial intelligence | en_US |
| dc.subject | Machine Learning | en_US |
| dc.subject | Livestock | en_US |
| dc.subject | Agriculturalists | en_US |
| dc.subject | Farm management | en_US |
| dc.title | Innovative Livestock: A Survey of artificial intelligence techniques in livestock farming management | en_US |
| dc.type | Article | en_US |