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Published August 17, 2023 | Version v1
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Mind your app: Could plant ID applications lead to an increase in extinction risk?

Authors/Creators

  • 1. Departamento de Biología Vegetal y Ecología, Universidad de Sevilla, Seville, 41012, Spain
  • 2. Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de Córdoba, 14071, Cordoba, Spain & b92lotij@uco.es; https://orcid.org/0000-0001-5088-0438
  • 3. Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de Córdoba, 14071, Cordoba, Spain & ireneescobar122@gmail.com; https://orcid.org/0009-0002-7273-5666
  • 4. Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de Córdoba, 14071, Cordoba, Spain & bv2masag@uco.es; https://orcid.org/0000-0002-4949-7770
  • 5. Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de Córdoba, 14071, Cordoba, Spain & bv2nilud@uco.es; https://orcid.org/0000-0003-4135-2881
  • 6. Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de Córdoba, 14071, Cordoba, Spain & jimenawhippet@gmail.com; https://orcid.org/0009-0003-7444-2098
  • 7. Departamento de Botánica, Ecología y Fisiología Vegetal, Universidad de Córdoba, 14071, Cordoba, Spain & mdelaestrella@uco.es; https://orcid.org/0000-0002-4484-3566

Description

Berjano, Regina, López-Tirado, Javier, Martín-Escobar, Irene, Martínez-Sagarra, Gloria, Nieto-Lugilde, Diego, Sánchez-Romero, Jimena, Estrella, Manuel De La (2023): Mind your app: Could plant ID applications lead to an increase in extinction risk? Phytotaxa 609 (1): 65-68, DOI: 10.11646/phytotaxa.609.1.6, URL: http://dx.doi.org/10.11646/phytotaxa.609.1.6

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Identifiers

LSID
urn:lsid:plazi.org:pub:8C5A6040DD419404FFA53D37FFBEFFA2

Cites
Publication: 10.1111/cobi.12738 (DOI)
Publication: 10.31812/123456789/4403 (DOI)
Publication: 10.1109/icsess.2017.8342935 (DOI)
Publication: 10.1093/aobpla/plaa052 (DOI)
Publication: 10.1139/cjb-2021-0160 (DOI)
Publication: 10.1007/s11831-016-9206-z (DOI)
Has part
Figure: 10.5281/zenodo.8254636 (DOI)

References

  • Balding, M. & Williams, K.J.H. (2016) Plant blindness and the implications for plant conservation. Conservation Biology 30: 1192- 1199. https://doi.org/10.1111/cobi.12738
  • Bilyk, Z.I., Shapovalov, Y.B., Shapovalov, V.B., Megalinska, A.P., Andruszkiewicz, F. & Dolhanczuk-Srodka, A. (2020) Assessment of mobile phone applications feasibility on plant recognition: comparison with Google Lens AR-app. In: Bilyk, Z.I., Shapovalov, Y.B., Shapovalov, V.B. & Megalinska, A.P. Fabian Andruszkiewicz, Agnieszka Dolhanczuk-Srodka. CEUR Workshop Proceedings 2731: 61-78. https://doi.org/10.31812/123456789/4403
  • Bridson, D.M. & Forman, L. (1992) The Herbarium Handbook Rev. ed. Kew: Royal Botanic Gardens.
  • Devesa, J.A. (1986) Ononis sect. Ononis subsect. Diffusae SIRJ en Andalucia Occidental. Lagascalia 14 (1): 76-85.
  • Gillenwater, T.G. (2017) Evolution of the Smartphone. Microwave Journal 60: 40-52.
  • Guo, P. & Gao, Q. (2017) A multi-organ plant identification method using convolutional neural networks. In: 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) (IEEE). pp. 371-376. https://doi.org/10.1109/icsess.2017.8342935
  • Jones, H.G. (2020) What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora. AoB PLANTS 12: plaa052. https://doi.org/10.1093/aobpla/plaa052
  • Martin-Escobar, I. (2021) Aplicaciones moviles para la identificacion de plantas: una evaluacion practica. BSc Thesis, Universidad de Cordoba, Cordoba.
  • McMullin, R.T. & Allen, J.L. (2022) An assessment of data accuracy and best practice recommendations for observations of lichens and other taxonomically difficult taxa on iNaturalist. Botany 100: 491-497. https://doi.org/10.1139/cjb-2021-0160
  • Sanchez-Romero, J. (2022) Evaluation of the performance of mobile applications for plant identification. MSc Thesis, Universidad de Cordoba, Cordoba.
  • Waldchen, J. & Mader, P. (2018) Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review. Archives of Computational Methods in Engineering 25: 507-543. https://doi.org/10.1007/s11831-016-9206-z