Mohsen Sotoudeh

Department of Artificial Intelligence, Artemis Health Technology Solutions, 1901-5000 Yonge St, North York, Ontario, Canada

  • Research Article   
    Improving Online Livestock Health Monitoring System using Machine Learning, AI, ANN, IoT and Sound Based Technologies: A Pilot Study
    Author(s): Mohsen Sotoudeh*, Nahal Alavi and Ali Zarrineh

    In the livestock industry, maintaining the health of animals is very important, and the use of technology has greatly helped this. One of the existing challenges has been that most of the available sensors and electronic processing devices are designed to fit the human body, and the use of these devices for livestock faces limitations due to the difference in the structure of the body and skin of animals and humans. Reliable solutions tailored for animal husbandry can be achieved by modifying the physical and software structure of existing devices. In this article, we have presented the current situation, by reviewing the research done and the existing technology in the field of animal husbandry. The aim is to obtain comprehensive parameters for monitoring livestock health by leveraging available information and exploring new methods based on the Internet of Things (IoT), Ar.. View more»

    DOI: 10.35248/2090-4908.24.13.369

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