Innovative Livestock: A Survey of Artificial Intelligence Techniques in Livestock Farming Management

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 th...

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Bibliographic Details
Main Authors: Maad M. Mijwil, Oluwaseun Adelaja, Amr Badr, Guma Ali, Bosco Apparatus Buruga, Pramila Pudasaini
Format: Article
Language:English
Published: College of Computer and Information Technology – University of Wasit, Iraq 2023-12-01
Series:Wasit Journal of Computer and Mathematics Science
Subjects:
Online Access:https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/206
Description
Summary: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.
ISSN:2788-5879
2788-5887