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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12590/17078
Title: A Low-Cost IoT Platform for Heat Stress Monitoring in Dairy Cattle
Authors: Choquehuanca-Zevallos, J.J.
Mayhua-Lopez, E.
Keywords: Heat stress in dairy cattle;Internet-of-Things;LoRa network
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
metadata.dc.relation.uri: Institute of Electrical and Electronics Engineers Inc.
Abstract: This paper presents a compact and modular system based on Internet-of- Things for monitoring cattle behavior and stress in real-time. It will help to model certain parameters such as temperature and certain weather variables such as relative humidity, solar radiation, among others thanks to Internet-of- Things (IoT) sensors localized in different points of barns and the fields for cattle farming. A main benefit of the system is that it is built with low-cost hardware and low battery consumption. The wireless system also allows the collection of data in real-time and obtains the temperature-humidity index. This index will give an approach to the heat stress in cattle not only on the farm but in the vicinity of the farm. Finally, the high amount of collected data will allow employing Big Data solutions for estimating the impact on milk productivity. In the future, more sensors will be deployed for a more detailed reading of weather variables and their impact on dairy cattle. © 2021 IEEE.
URI: http://hdl.handle.net/20.500.12590/17078
ISBN: 9780738126043
Appears in Collections:Artículos - Ingeniería Electrónica y de Telecomunicaciones

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