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Development of a wearable RFID reader to monitor animal information through smart glasses for augmented reality in livestock farms

Conference Paper
Publication Date:
2022
Short description:
Development of a wearable RFID reader to monitor animal information through smart glasses for augmented reality in livestock farms / Todde, G.; Sara, G.; Pinna, D.; Artizzu, V.; Spano, L. D.; Caria, M.. - (2022), pp. 832-839. (Intervento presentato al convegno 10th European Conference on Precision Livestock Farming, ECPLF 2022 tenutosi a aut nel 2022).
abstract:
In recent years, scientific research and development activities have focused on the application of Precision Agriculture techniques. This approach determines an increase in the sustainability of productions together with a quantitative and qualitative increase in agricultural products. In this context, smart glasses for augmented reality (ARSG) represent a useful tool to provide on-farm information in real-time, that facilitates and assist agricultural operators during on-field activities. The aim of this work was to bridge the technological gap between the identification of animal RFID (ear tag; rumen bolus) and the real-time access to individual animal information. Specifically, the research team developed a prototype called ‘SmartGlove’ (SG) that combines the functionalities of an RFID reader with ARSG. This tool was designed as an operator’s wearable device equipped with a function for reading the animal’s RFID identification code and for communicating with the ARSG, via Bluetooth connection. The identification code retrieves the information related to the individual animal through a custom application specifically developed for the ARSG. SmartGlove has enabled the farmer to enhance the RFID identification system to access and monitor (hand-free) the animal information (milk production, health status, etc.) displayed in augmented reality on ARSG devices. This innovative system allowed to make timely decisions in the management of farms, reducing the required workforce while improving productive performances, in line with animal welfare and precision livestock farming principles.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Animal identification; AR headset; Ear tag; Electronic identification; PLF tool; Rumen bolus
List of contributors:
Todde, G.; Sara, G.; Pinna, D.; Artizzu, V.; Spano, L. D.; Caria, M.
Authors of the University:
CARIA Maria
PINNA Daniele
SARA Gabriele
TODDE Giuseppe
Handle:
https://iris.uniss.it/handle/11388/321412
Book title:
Precision Livestock Farming 2022 - Papers Presented at the 10th European Conference on Precision Livestock Farming, ECPLF 2022
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