Evidence map›Paper›PMID 42495439›Full record

ArticleAoB PLANTS2026

Evaluating species identification apps as a tool for small plot-based surveys of vascular plants in Alberta, Canada.

Iyesha M Wanigasinghe, Diane L Haughland, Lysandra A Pyle, Mary A L Villeneuve, Scott E Nielsen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AoB PLANTS, 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

5 authors.

Iyesha M WanigasingheDepartment of Renewable Resources, University of Alberta, 116 St & 85 Ave, Edmonton, Alberta, T6G 2R3, Canada.ORCID https://orcid.org/0009-0008-4580-1705
Diane L HaughlandDepartment of Renewable Resources, University of Alberta, 116 St & 85 Ave, Edmonton, Alberta, T6G 2R3, Canada.ORCID https://orcid.org/0000-0003-1402-5041
Lysandra A PyleAlberta Biodiversity Monitoring Institute, University of Alberta, 10055 106 St NW, Suite 700, Edmonton, Alberta, T5J 2Y2, Canada.ORCID https://orcid.org/0000-0001-6922-3673
Mary A L VilleneuveAlberta Biodiversity Monitoring Institute, University of Alberta, 10055 106 St NW, Suite 700, Edmonton, Alberta, T5J 2Y2, Canada.
Scott E NielsenDepartment of Renewable Resources, University of Alberta, 116 St & 85 Ave, Edmonton, Alberta, T6G 2R3, Canada.ORCID https://orcid.org/0000-0002-9754-0630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While mobile apps are becoming more accurate at identifying vascular plants, it is unclear whether accuracy is maintained when doing plot-based surveys, where image acquisition is limited to a small pool of individuals that often lack ideal identification features. We evaluated two free plant identification apps, Flora Incognita and iNaturalist, using 5291 field images of 119 species from 54 plots of 0.8 m

Indexed as

automated species identificationbiodiversity monitoringdetectabilityflora incognitaidentification accuracyiNaturalistmobile appsvascular plants

Identifiers

PMID42495439
PMCPMC13394787

What OpenQuestion holds

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LicenceCC BY
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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.