Literature DB >> 32794048

Swipe Right: a Comparison of Accuracy of Plant Identification Apps for Toxic Plants.

Jenna Otter1, Stephanie Mayer2, Christian A Tomaszewski3.   

Abstract

INTRODUCTION: Plant 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.
METHODS: We 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.).
RESULTS: PictureThis 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]).
CONCLUSION: A plant identification app may be a useful tool to assist healthcare providers and the public in identifying toxic plants.

Entities:  

Keywords:  Plant identification; Smartphone applications; Toxic plants

Mesh:

Year:  2020        PMID: 32794048      PMCID: PMC7785603          DOI: 10.1007/s13181-020-00803-6

Source DB:  PubMed          Journal:  J Med Toxicol        ISSN: 1556-9039


  10 in total

1.  Identification of poisonous plants by DNA barcoding approach.

Authors:  Ilaria Bruni; Fabrizio De Mattia; Andrea Galimberti; Gabriele Galasso; Enrico Banfi; Maurizio Casiraghi; Massimo Labra
Journal:  Int J Legal Med       Date:  2010-03-31       Impact factor: 2.686

2.  Remote identification of poisonous plants by cell-phone camera and online communication.

Authors:  Yael Lurie; Pinhas Fainmesser; Moshe Yosef; Yedidia Bentur
Journal:  Isr Med Assoc J       Date:  2008-11       Impact factor: 0.892

3.  2017 Annual Report of the American Association of Poison Control Centers' National Poison Data System (NPDS): 35th Annual Report.

Authors:  David D Gummin; James B Mowry; Daniel A Spyker; Daniel E Brooks; Krista M Osterthaler; William Banner
Journal:  Clin Toxicol (Phila)       Date:  2018-12-21       Impact factor: 4.467

4.  2016 Annual Report of the American Association of Poison Control Centers' National Poison Data System (NPDS): 34th Annual Report.

Authors:  David D Gummin; James B Mowry; Daniel A Spyker; Daniel E Brooks; Michael O Fraser; William Banner
Journal:  Clin Toxicol (Phila)       Date:  2017-11-29       Impact factor: 4.467

Review 5.  Poisonous or non-poisonous plants? DNA-based tools and applications for accurate identification.

Authors:  Valerio Mezzasalma; Ioannis Ganopoulos; Andrea Galimberti; Laura Cornara; Emanuele Ferri; Massimo Labra
Journal:  Int J Legal Med       Date:  2016-10-30       Impact factor: 2.686

Review 6.  The role of forensic botany in crime scene investigation: case report and review of literature.

Authors:  Isabella Aquila; Francesco Ausania; Ciro Di Nunzio; Arianna Serra; Silvia Boca; Arnaldo Capelli; Paola Magni; Pietrantonio Ricci
Journal:  J Forensic Sci       Date:  2014-02-06       Impact factor: 1.832

7.  The fax machine: a new method of plant identification.

Authors:  P E McKinney; H F Gomez; S Phillips; J Brent
Journal:  J Toxicol Clin Toxicol       Date:  1993

8.  Acute plant poisoning: analysis of clinical features and circumstances of exposure.

Authors:  Joan Fuchs; Christine Rauber-Lüthy; Hugo Kupferschmidt; Jacqueline Kupper; Gerd-Achim Kullak-Ublick; Alessandro Ceschi
Journal:  Clin Toxicol (Phila)       Date:  2011-08-02       Impact factor: 4.467

9.  Human Plant Exposures Reported to a Regional (Southwestern) Poison Control Center Over 8 Years.

Authors:  Ben Enfield; Daniel E Brooks; Sharyn Welch; Maureen Roland; Jane Klemens; Kim Greenlief; Rachel Olson; Richard D Gerkin
Journal:  J Med Toxicol       Date:  2018-01-12

10.  Deep Learning for Plant Identification in Natural Environment.

Authors:  Yu Sun; Yuan Liu; Guan Wang; Haiyan Zhang
Journal:  Comput Intell Neurosci       Date:  2017-05-22
  10 in total
  2 in total

1.  Validation of a Plant Identification Application Using Digital Images of Toxic Plants.

Authors:  Sarah Mahonski; Emma Furlano; William Chiang
Journal:  J Med Toxicol       Date:  2022-01-27

2.  Multiple organ failure leading to death after ingestion of Caltha palustris: A case report.

Authors:  Keun Taek Lee; Won Young Sung
Journal:  Medicine (Baltimore)       Date:  2021-11-19       Impact factor: 1.889

  2 in total

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