Fog assisted application support for animal behaviour analysis and health monitoring in dairy farming

Taneja, Mohit and Byabazaire, John and Davy, Alan and Olariu, Cristian (2018) Fog assisted application support for animal behaviour analysis and health monitoring in dairy farming. In: IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings :. IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings . Institute of Electrical and Electronics Engineers Inc., SGP, pp. 819-824. ISBN 9781467399449

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Abstract

With the exponential growth rate of technology, the future of all activities, including dairy farming involves an omnipresence of widely connected devices. Internet of things (IoT), fog computing, cloud computing and data analytics together offer a great opportunity to increase productivity in the dairy industry. In this paper, we present a fog computing assisted application system for animal behaviour analysis and health monitoring in a dairy farming scenario. The sensed data from sensors is sent to a fog based platform for data classification and analysis, which includes decision making capabilities. The solution aims towards keeping track of the animals' well-being by delivering early warning alerts generated through behavioural analytics, thus aiding the farmer to monitor the health of their livestock and the capability to identify potential diseases at an early stage, thereby also helping in increasing milk yield and productivity. The proposed system follows a service based model, avoids vendor lock-in, and is also scalable to add new features such as the detection of calving, heat, and issues like lameness.

Item Type: Book Section
Additional Information: Funding Information: This work has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. Publisher Copyright: © 2018 IEEE.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1702
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Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:15
Last Modified: 16 Jul 2023 23:50
URI: http://repository-testing.wit.ie/id/eprint/4860

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