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What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora
There has been a recent explosion in development of image recognition technology and its application to automated plant identification, so it is timely to consider its potential for field botany. Nine free apps or websites for automated plant identification and suitable for use on mobile phones or t...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640754/ https://www.ncbi.nlm.nih.gov/pubmed/33173573 http://dx.doi.org/10.1093/aobpla/plaa052 |
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author | Jones, Hamlyn G |
author_facet | Jones, Hamlyn G |
author_sort | Jones, Hamlyn G |
collection | PubMed |
description | There has been a recent explosion in development of image recognition technology and its application to automated plant identification, so it is timely to consider its potential for field botany. Nine free apps or websites for automated plant identification and suitable for use on mobile phones or tablet computers in the field were tested on a disparate set of 38 images of plants or parts of plants chosen from the higher plant flora of Britain and Ireland. There were large differences in performance with the best apps identifying >50 % of samples tested to genus or better. Although the accuracy is good for some of the top-rated apps, for any quantitative biodiversity study or for ecological surveys, there remains a need for validation by experts or against conventional floras. Nevertheless, the better-performing apps should be of great value to beginners and amateurs and may usefully stimulate interest in plant identification and nature. Potential uses of automated image recognition plant identification apps are discussed and recommendations made for their future use. |
format | Online Article Text |
id | pubmed-7640754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76407542020-11-09 What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora Jones, Hamlyn G AoB Plants Viewpoint There has been a recent explosion in development of image recognition technology and its application to automated plant identification, so it is timely to consider its potential for field botany. Nine free apps or websites for automated plant identification and suitable for use on mobile phones or tablet computers in the field were tested on a disparate set of 38 images of plants or parts of plants chosen from the higher plant flora of Britain and Ireland. There were large differences in performance with the best apps identifying >50 % of samples tested to genus or better. Although the accuracy is good for some of the top-rated apps, for any quantitative biodiversity study or for ecological surveys, there remains a need for validation by experts or against conventional floras. Nevertheless, the better-performing apps should be of great value to beginners and amateurs and may usefully stimulate interest in plant identification and nature. Potential uses of automated image recognition plant identification apps are discussed and recommendations made for their future use. Oxford University Press 2020-09-23 /pmc/articles/PMC7640754/ /pubmed/33173573 http://dx.doi.org/10.1093/aobpla/plaa052 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Annals of Botany Company. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Viewpoint Jones, Hamlyn G What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora |
title | What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora |
title_full | What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora |
title_fullStr | What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora |
title_full_unstemmed | What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora |
title_short | What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora |
title_sort | what plant is that? tests of automated image recognition apps for plant identification on plants from the british flora |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640754/ https://www.ncbi.nlm.nih.gov/pubmed/33173573 http://dx.doi.org/10.1093/aobpla/plaa052 |
work_keys_str_mv | AT joneshamlyng whatplantisthattestsofautomatedimagerecognitionappsforplantidentificationonplantsfromthebritishflora |