2018
DOI: 10.1108/sr-08-2017-0152
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Cloud IOT based novel livestock monitoring and identification system using UID

Abstract: Purpose We propose cloud IoT based LMS (Livestock Management System) with three features. i) Animal healthcare monitoring and recording using IoT sensors via wearable collar, ii) Animal livestock identification using UID for animals (smart tag) and owners (smart card), iii) QR code reading, processing and display of the details in mobile via wireless technologies. Design/methodology/approach The developed animal monitoring device is used to detect animal physiological parameters such as body temperature; phy… Show more

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Cited by 27 publications
(2 citation statements)
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“…Given the large size of animals and considerable variation among them, animals need to be managed on an individual level. Smart collars (wearable devices) are designed to track the health of an individual animal, and can be used to monitor cows or sheep [87,88]. For example, these collars monitor the fertility of a cow by tracking its movements during the fertile period, and alert farmers by sending messages to a laptop or smartphone when the cow is ready to mate (Figure 3).…”
Section: Intelligent Fixed Equipmentmentioning
confidence: 99%
“…Given the large size of animals and considerable variation among them, animals need to be managed on an individual level. Smart collars (wearable devices) are designed to track the health of an individual animal, and can be used to monitor cows or sheep [87,88]. For example, these collars monitor the fertility of a cow by tracking its movements during the fertile period, and alert farmers by sending messages to a laptop or smartphone when the cow is ready to mate (Figure 3).…”
Section: Intelligent Fixed Equipmentmentioning
confidence: 99%
“…These variables include feed, health, and movement control data. For example, by monitoring the health status of animals can help the government to take the right decisions on policies and fund allocation [256]. Generally, the key features in livestock variables are listed in Table 7.…”
Section: Applied Chemicalsmentioning
confidence: 99%