ArticleJournal of medical toxicology : official journal of the American College of Medical Toxicology2021
Swipe Right: a Comparison of Accuracy of Plant Identification Apps for Toxic Plants.
Article in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- Investigating key drivers influencing AI-based detection and identification of plants.PloS one · 2026Article
- Don't You Know That I'm Toxic? Wild Birds Learn to Avoid a Novel Aposematic Warning Signal.Ecology and evolution · 2025Article
- Exploring the landscape of automated species identification apps: Development, promise, and user appraisal.Bioscience · 2024Review
- A repeatable scoring system for assessing Smartphone applications ability to identify herbaceous plants.PloS one · 2023Article
- Validation of a Plant Identification Application Using Digital Images of Toxic Plants.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPlant identification applications for use on smartphones have been increasing in availability, accuracy, and utilization. We aimed to perform an introductory study to determine if a plant identification application (ID app) used on a smartphone could identify toxic plants, and to compare apps to determine which is most reliable.
methodsWe compared three popular iPhone plant ID apps, PictureThis (PT), PlantSnap (PS), and Pl@ntNet (PN), used to identify 17 commonly encountered toxic plants. Apps were used to photograph the entire plant, leaves, and flowers of ≥ 10 different plants for each species. Two toxicologists performed plant identification with confirmation of identification performed by a botanist, and inter-researcher agreement was confirmed. For each plant species, scores for accuracy of app identification of leaves, flowers, and whole plant were combined to create an overall composite score used to compare accuracy of each app (95% C.I.).
resultsPictureThis had the best performance with 10/17 (59% [36 to 78]) plant species identified 100% correctly, as opposed to 8/17 (47% [26 to 69]) for Pl@ntNet and 1/17 for PlantSnap (5.8% [1.1 to 27]).
conclusionA plant identification app may be a useful tool to assist healthcare providers and the public in identifying toxic plants.
Indexed as
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Registered trials
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