ReviewAoB PLANTS2020
What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora.
Review in AoB PLANTS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed.
- Evaluation of the e-Surveyor Mobile Application for Undertaking Plant Surveys and Predicting Habitat Type.Ecology and evolution · 2026Article
- Evaluating species identification apps as a tool for small plot-based surveys of vascular plants in Alberta, Canada.AoB PLANTS · 2026Article
- Investigating key drivers influencing AI-based detection and identification of plants.PloS one · 2026Article
- Expanding phenological insights: automated phenostage annotation with community science plant images.International journal of biometeorology · 2025Article
- Review
- Exploring the landscape of automated species identification apps: Development, promise, and user appraisal.Bioscience · 2024Review
- Sweet Basil between the Soul and the Table-Transformation of Traditional Knowledge onPlants (Basel, Switzerland) · 2023Article
- A repeatable scoring system for assessing Smartphone applications ability to identify herbaceous plants.PloS one · 2023Article
- Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring.Frontiers in plant science · 2023Article
- Citizen science plant observations encode global trait patterns.Nature ecology & evolution · 2022Article
- Automatic detection of alien plant species in action camera images using the chopped picture method and the potential of citizen science.Breeding science · 2022Article
- Can field botany be effectively taught as a distance course? Experiences and reflections from the COVID-19 pandemic.AoB PLANTS · 2022Article
- Plant image identification application demonstrates high accuracy in Northern Europe.AoB PLANTS · 2021Article
- Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives.Frontiers in plant science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.