Abstract
In present study, an embedded system is proposed for facilitating the differentiation of feeding from rumination activity, in dairy cows. The proposal is inspired from applications developed for humans that contain both hardware and software. The solution proposes a method for determining the neck angle obtained through the use of directional and angular acceleration data coming from two sensors. Using the obtained neck angle, a scientific method for differentiating between “Feeding” and “Ruminating” classification is presented. The proposal is supported by laboratory experiment results provided by a designed prototype, consisting of hardware and software. The prototype is a low-energy device giving effective results, which can be integrated to other activity sensors as an additional function. The experimentation results successfully pass the previously proven international performance tests. The only limitation is that the proposed solution is not recommended to be used as an instantaneous activity sensor tool. Efforts are underway to test the proposed solution in a real precision dairy farm and finally promote the outcome as a commercial product offered in the dairy market.
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