Evidence map›Paper›PMID 41644659›Full record

ArticleScientific reports2026

Influence of dairy farms' characteristics and technological level on attitude towards augmented reality.

D Pinna, G Sara, R Cresci, A Petronella, G Todde, A S Atzori, M Caria

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

D PinnaUniversity of Sassari, Department of Agricultural Science, Viale Italia 39/a, Sassari, 07100, Italy. dpinna1@uniss.it.
G SaraUniversity of Sassari, Department of Agricultural Science, Viale Italia 39/a, Sassari, 07100, Italy.
R CresciUniversity of Sassari, Department of Agricultural Science, Viale Italia 39/a, Sassari, 07100, Italy.
A PetronellaUniversity of Sassari, Department of Agricultural Science, Viale Italia 39/a, Sassari, 07100, Italy.
G ToddeUniversity of Sassari, Department of Agricultural Science, Viale Italia 39/a, Sassari, 07100, Italy.
A S AtzoriUniversity of Sassari, Department of Agricultural Science, Viale Italia 39/a, Sassari, 07100, Italy.
M CariaUniversity of Sassari, Department of Agricultural Science, Viale Italia 39/a, Sassari, 07100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of Decision Support System and data visualization technologies, as Augmented Reality (AR), offers potential advantages in herd management by enabling real-time access to critical animal data, enhancing decision-making, and providing training opportunities for farmers. However, investigating the possible spread of technologies in livestock farming is fundamental to understand which factors could influence the adoption of specific technologies by farmers. For this reason, this study aimed to investigate factors influencing farmers' attitudes towards the use of AR technologies, such as Smart Glasses for AR, in livestock farms. The research involved 18 dairy farms with different technological adoption level where the main discrimination technology was the Automatic Milking System (AMS). The study revealed that farms that use AMS generally had greater technological implementation and were more familiar with advanced livestock technologies. While both AMS farmers and Conventional Milking Parlor (CMP) farmers had positive attitudes toward AR use, CMP farmers perceived greater potential benefits because of their limited access to on-site animal data. The study concludes that augmented reality has the potential to enhance the efficiency of livestock farming data use, especially on CMP farms, by offering an innovative method to visualize animal data. While the results align with existing literature, future studies should consider geographical constraints, sample size, and temporal and cultural variations. Finally, it is also recommended to explore the interoperability of AR with existing precision livestock farming technologies and to address the main barriers to its adoption, such as cost and training.

Indexed as

AttitudeAugmented RealityDairyingFarmersFarmsAnimalsCattleFemaleHumansSurveys and QuestionnairesDigital transitionFarmer attitudePrecision livestock farmingSmart glassesSurvey

Identifiers

PMID41644659
PMCPMC12929579

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.