ArticleApplications in plant sciences2020
Using computer vision on herbarium specimen images to discriminate among closely related horsetails (
Article in Applications in plant sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Towards a Research Programme Aiming at Causes and Consequences of Reticulate Evolution.Biology · 2025Review
- Horsetail (Pharmaceuticals (Basel, Switzerland) · 2023Article
- Envisaging a global infrastructure to exploit the potential of digitised collections.Biodiversity data journal · 2023Article
- The Herbarium 2021 Half-Earth Challenge Dataset and Machine Learning Competition.Frontiers in plant science · 2021Article
- An algorithm competition for automatic species identification from herbarium specimens.Applications in plant sciences · 2020Article
- A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction.Applications in plant sciences · 2020Article
- Using computer vision on herbarium specimen images to discriminate among closely related horsetails (Applications in plant sciences · 2020Article
- Computer vision species identification of lichens and bryophytes from biocrusts in Australian drylands.Applications in plant sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
premise
methodsWe hypothesize that aerial stem nodes can provide enough information to distinguish among
resultsIn our exploratory test set of 30 images, our detector/classifier combination identified all 10 DISCUSSION: Our results support the notion that computer vision may help with the identification of herbarium specimens once enough manual annotations become available.
Indexed as
Identifiers
What OpenQuestion holds
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.