Evidence map›Paper›PMID 42592190›Full record

ArticleJDS communications2026

Farmer experiences with virtual fencing: Adoption, adaptation, and farm system change in New Zealand pasture-based dairy systems.

Callum R Eastwood, Brian Dela Rue, Lucy Hall

Abstract read
In one paragraph

Article in JDS communications, 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Callum R EastwoodResearch and Science, DairyNZ, Lincoln, New Zealand 7647.
Brian Dela RueResearch and Science, DairyNZ, Hamilton, New Zealand 3240.
Lucy HallResearch and Science, DairyNZ, Lincoln, New Zealand 7647.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual fencing (VF) is a livestock management technology that uses global positioning systems-enabled collars and audio or electrical cues to geo-fence and herd animals. Virtual fencing is now in use on farms in several countries; however, there have been limited studies on the use of VF on commercial dairy farms and assessing the implications for how farm systems are managed. The aim of this study was to explore farmer experiences with VF use on pasture-based dairy farms in New Zealand. A qualitative research approach was used, with 60- to 90-min semistructured interviews conducted with 20 New Zealand dairy farmers (participants). Interviews were transcribed and analyzed using inductive open coding through Atlas.ti Web software (version 7.4.0-2024-04-04). Innovation appeal, improved job satisfaction, and reduced labor demands were dominant drivers for adoption. Adaptation of animals and people to the new system occurred within a few days or weeks following implementation of VF; however, more time was required for farm system adaptations, such as laneway modifications, additional water troughs, and removal of some permanent fencing. Post-adoption benefits, as perceived by participants, related to time savings, greater control of grazing and crop management, and herd management improvements. Although it was difficult for participants to place a financial return on their VF investment, almost all expressed an ongoing commitment to using the technology, indicating the presence of strong nonfinancial benefits. Findings from this research highlight the transformational potential of VF in grazed dairy systems, while underscoring the need for user-friendly interfaces, robust support systems, and strategies to support the early learning process and mitigate cognitive load.

Identifiers

PMID42592190
PMCPMC13464204

What OpenQuestion holds

Textmetadata
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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.