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Ensuring the well-being of livestock and maximizing agricultural output both need vigilant monitoring. Biometric sensing in cattle is the focus of this article, which offers a thorough solution based on Multi-Sensor Fusion (MSF) connected to the Internet of Things (IoT). The technology uses a number of physiological sensors to record the animal's vitals in real-time a comprehensive overview of its health. With the help of the IoT architecture, sensors may easily connect to one another and share data remotely. Improved data exchange efficiency, reduced latency, and dependable device-to-device communication are all results of using the Message Queuing Telemetry Transport (MQTT) protocol. The suggested system integrates data from many sensors to provide more reliable health insights. Constant monitoring of vital signs (heart rate, temperature, and activity levels) enables prompt identification of abnormalities or indications of distress. The combination of data from several sensors allows for a more detailed assessment of the animal's health, which in turn allows for preventative measures and individualized treatment. The MQTT protocol, data may be sent in real-time to a central server or cloud platform, simplifying the flow of information. This data may be examined to provide valuable insights that can be used by vets and farmers to make timely decisions.
Ronald et al. (Fri,) studied this question.