Skip to main content Skip to main navigation menu Skip to site footer
Responsive image
Issue: Vol. 609 No. 1: 17 Aug. 2023
Type: Correspondence
Published: 2023-08-17
DOI: 10.11646/phytotaxa.609.1.6
Page range: 65-68
Abstract views: 645
PDF downloaded: 357

Mind your app: Could plant ID applications lead to an increase in extinction risk?

Departamento de Biología Vegetal y Ecología; Universidad de Sevilla; Seville; 41012; Spain
Departamento de Botánica; Ecología y Fisiología Vegetal; Universidad de Córdoba; 14071; Cordoba; Spain
Departamento de Botánica; Ecología y Fisiología Vegetal; Universidad de Córdoba; 14071; Cordoba; Spain
Departamento de Botánica; Ecología y Fisiología Vegetal; Universidad de Córdoba; 14071; Cordoba; Spain
Departamento de Botánica; Ecología y Fisiología Vegetal; Universidad de Córdoba; 14071; Cordoba; Spain
Departamento de Botánica; Ecología y Fisiología Vegetal; Universidad de Córdoba; 14071; Cordoba; Spain
Departamento de Botánica; Ecología y Fisiología Vegetal; Universidad de Córdoba; 14071; Cordoba; Spain
Taxonomy Systematics Apps Students Image recognition General

Abstract

N/A

References

  1. 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
  2. Bilyk, Z.I., Shapovalov, Y.B., Shapovalov, V.B., Megalinska, A.P., Andruszkiewicz, F. & Dołhańczuk-Śródka, 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 Dołhańczuk-Śródka. CEUR Workshop Proceedings 2731: 61–78. https://doi.org/10.31812/123456789/4403
  3. Bridson, D.M. & Forman, L. (1992) The Herbarium Handbook Rev. ed. Kew: Royal Botanic Gardens.
  4. Devesa, J.A. (1986) Ononis sect. Ononis subsect. Diffusae SIRJ en Andalucía Occidental. Lagascalia 14 (1): 76–85.
  5. Gillenwater, T.G. (2017) Evolution of the Smartphone. Microwave Journal 60: 40–52.
  6. 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
  7. 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
  8. Martín-Escobar, I. (2021) Aplicaciones móviles para la identificación de plantas: una evaluación práctica. BSc Thesis, Universidad de Córdoba, Córdoba.
  9. 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
  10. Sánchez-Romero, J. (2022) Evaluation of the performance of mobile applications for plant identification. MSc Thesis, Universidad de Córdoba, Córdoba.
  11. Wäldchen, J. & Mäder, 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