ReviewPLoS computational biology2018
Automated plant species identification-Trends and future directions.
Review in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
- Manage your image database with computer vision-Lessons learned at Encyclopedia of Life.Bioscience · 2026Article
- Herbarium specimens in the age of artificial intelligence: from herbarium image identification to Integrative Taxonomic AI.Journal of plant research · 2026Article
- Evaluating species identification apps as a tool for small plot-based surveys of vascular plants in Alberta, Canada.AoB PLANTS · 2026Article
- Towards the automatized identification of moss species from their spore morphology.Annals of botany · 2026Article
- Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age.Nature ecology & evolution · 2025Article
- Article
- Integrating phenotypic analyses and color parameters: a multidimensional framework for precise color characterization in eggplant fruit.Frontiers in plant science · 2025Article
- Identification and classification ofPeerJ · 2025Article
- Article
- Automatic fused multimodal deep learning for plant identification.Frontiers in plant science · 2025Article
- Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands.Environmental science and ecotechnology · 2024Article
- Leaf rolling detection in maize under complex environments using an improved deep learning method.Plant molecular biology · 2024Article
- Emerging technologies in citizen science and potential for insect monitoring.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Enhancing Apple Cultivar Classification Using Multiview Images.Journal of imaging · 2024Article
- Article
- Discrimination of 14 olive cultivars using morphological analysis and machine learning algorithms.Frontiers in plant science · 2024Article
- Applying image clustering to phylogenetic analysis: A trial.Plant diversity · 2023Article
- Recognizability bias in citizen science photographs.Royal Society open science · 2023Article
- Inside out: transforming images of lab-grown plants for machine learning applications in agriculture.Frontiers in artificial intelligence · 2023Article
- Development of a system for the automated identification of herbarium specimens with high accuracy.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current rates of species loss triggered numerous attempts to protect and conserve biodiversity. Species conservation, however, requires species identification skills, a competence obtained through intensive training and experience. Field researchers, land managers, educators, civil servants, and the interested public would greatly benefit from accessible, up-to-date tools automating the process of species identification. Currently, relevant technologies, such as digital cameras, mobile devices, and remote access to databases, are ubiquitously available, accompanied by significant advances in image processing and pattern recognition. The idea of automated species identification is approaching reality. We review the technical status quo on computer vision approaches for plant species identification, highlight the main research challenges to overcome in providing applicable tools, and conclude with a discussion of open and future research thrusts.
Indexed as
Identifiers
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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.