Livestock monitoring is one of the most common problems in the current time, and to sustain the lifecycle and support the nature of domesticated animals, the standard checking of animal wellbeing is fundamental. Moreover, many diseases are spread from animals to human beings; hence, an early prognosis in regard to cow wellbeing and illness is essential. This chapter proposed an internet of things (IoT)-based framework for domesticated animal wellbeing checking. The proposed framework comprises of a specially crafted multi-sensor board to record a few physiological boundaries including skin temperature, pulse, and rumination with regards to encompassing temperature, stickiness, and a camera for picture examination to recognize diverse standards of health. The data is collected using LoRa gateway technology, where gathered data is examined and utilized for performing ML models to identify diseased and healthy creatures and foresee cow wellbeing for giving early and convenient clinical consideration. The results obtained are used for careful insights regarding animal health and wellbeing.
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