ArticleAoB PLANTS2021
Plant image identification application demonstrates high accuracy in Northern Europe.
Article in AoB PLANTS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
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Who cites it
10 citing papers in PubMed.
- Evaluation of the e-Surveyor Mobile Application for Undertaking Plant Surveys and Predicting Habitat Type.Ecology and evolution · 2026Article
- Cultivar to chemotype: characterizing complex botanicals with mass spectrometry metabolomics.Natural product reports · 2026Review
- 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
- Article
- 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
- Automatic detection of alien plant species in action camera images using the chopped picture method and the potential of citizen science.Breeding science · 2022Article
- Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives.Frontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated image-based plant identification has experienced rapid development and has been already used in research and nature management. However, there is a need for extensive studies on how accurately automatic plant identification works and which characteristics of observations and study species influence the results. We investigated the accuracy of the
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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.