2023
DOI: 10.1038/s41598-023-45772-2
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Advancements in combining electronic animal identification and augmented reality technologies in digital livestock farming

Daniele Pinna,
Gabriele Sara,
Giuseppe Todde
et al.

Abstract: Modern livestock farm technologies allow operators to have access to a multitude of data thanks to the high number of mobile and fixed sensors available on both the livestock farming machinery and the animals. These data can be consulted via PC, tablet, and smartphone, which must be handheld by the operators, leading to an increase in the time needed for on-field activities. In this scenario, the use of augmented reality smart glasses could allow the visualization of data directly in the field, providing for a… Show more

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Cited by 5 publications
(2 citation statements)
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“…The animal's identification is transmitted to the headset via Bluetooth technology. When a new ID is received, the interface displays all available information about the corresponding animal stored in a database (Pinna et al, 2023). Thus, this technology can be used to provide better care for each animal in the herd.…”
Section: Resultsmentioning
confidence: 99%
“…The animal's identification is transmitted to the headset via Bluetooth technology. When a new ID is received, the interface displays all available information about the corresponding animal stored in a database (Pinna et al, 2023). Thus, this technology can be used to provide better care for each animal in the herd.…”
Section: Resultsmentioning
confidence: 99%
“…Other applications have involved the implementation of AR systems for tractor driving assistance [15], the control of the operation of two autonomous agricultural machines using an AR device [16], and the use of a mobile-based AR application for Abalone growth monitoring [17], to promote sustainable development in hydroponic cultivation, [18] and for plot diagnosis activities in vineyards [19]. The benefits of the adoption of SGs for AR in the livestock sector were shown in recent studies testing systems to support operators in farm management [20], for the visualization of the production data of dairy sheep in the milking parlor [21], for monitoring of the ventilation system in the barn [22] and for the visualization of specific animal data from sheep farms [23]. Although some scientific studies and applications of AR and SGs in agriculture have been identified, the adoption of this technology by farmers is still limited.…”
Section: Introductionmentioning
confidence: 99%