Cargando…

Going deeper in the automated identification of Herbarium specimens

BACKGROUND: Hundreds of herbarium collections have accumulated a valuable heritage and knowledge of plants over several centuries. Recent initiatives started ambitious preservation plans to digitize this information and make it available to botanists and the general public through web portals. Howev...

Descripción completa

Detalles Bibliográficos
Autores principales:	Carranza-Rojas, Jose, Goeau, Herve, Bonnet, Pierre, Mata-Montero, Erick, Joly, Alexis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5553807/ https://www.ncbi.nlm.nih.gov/pubmed/28797242 http://dx.doi.org/10.1186/s12862-017-1014-z

Ejemplares similares

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction
por: Goëau, Hervé, et al.
Publicado: (2020)

Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus
por: Love, Natalie L. R., et al.
Publicado: (2021)

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
por: Lorieul, Titouan, et al.
Publicado: (2019)

Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest
por: Goëau, Hervé, et al.
Publicado: (2022)

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research
por: Pearson, Katelin D, et al.
Publicado: (2020)

Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
por: Champ, Julien, et al.
Publicado: (2020)

Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification
por: Unger, Jakob, et al.
Publicado: (2016)

Development of a system for the automated identification of herbarium specimens with high accuracy
por: Shirai, Masato, et al.
Publicado: (2022)

A New Method for Counting Reproductive Structures in Digitized Herbarium Specimens Using Mask R-CNN
por: Davis, Charles C., et al.
Publicado: (2020)

Attention-Based Recurrent Neural Network for Plant Disease Classification
por: Lee, Sue Han, et al.
Publicado: (2020)

An algorithm competition for automatic species identification from herbarium specimens
por: Little, Damon P., et al.
Publicado: (2020)

Toward a service-based workflow for automated information extraction from herbarium specimens
por: Kirchhoff, Agnes, et al.
Publicado: (2018)

GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens
por: Ott, Tankred, et al.
Publicado: (2020)

Estimating Compositions and Nutritional Values of Seed Mixes Based on Vision Transformers
por: Mehreen, Shamprikta, et al.
Publicado: (2023)

Increasing the efficiency of digitization workflows for herbarium specimens
por: Tulig, Melissa, et al.
Publicado: (2012)

Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation
por: Hussein, Burhan Rashid, et al.
Publicado: (2021)

Continental‐scale metagenomics, BLAST searches, and herbarium specimens: The Australian Microbiome Initiative and the National Herbarium of Victoria
por: Davoodian, Naveed, et al.
Publicado: (2020)

Go beyond Hubble and go deeper in the universe
por: Li, Haining
Publicado: (2022)

Dataset of herbarium specimens of threatened vascular plants in Catalonia
por: Nualart, Neus, et al.
Publicado: (2017)

Skin DCs go deeper
por: Robinson, Richard
Publicado: (2008)

Skin DCs go deeper
por: Bashyam, Hema, et al.
Publicado: (2007)

Genome skimming herbarium specimens for DNA barcoding and phylogenomics
por: Zeng, Chun-Xia, et al.
Publicado: (2018)

Utilizing herbarium specimens to quantify historical mycorrhizal communities
por: Heberling, J. Mason, et al.
Publicado: (2019)

Biases in estimation of insect herbivory from herbarium specimens
por: Kozlov, Mikhail V., et al.
Publicado: (2020)

LeafMachine: Using machine learning to automate leaf trait extraction from digitized herbarium specimens
por: Weaver, William N., et al.
Publicado: (2020)

When xylarium and herbarium meet: linking Tervuren xylarium wood samples with their herbarium specimens at Meise Botanic Garden
por: Vanden Abeele, Samuel, et al.
Publicado: (2021)

A non-destructive DNA sampling technique for herbarium specimens
por: Shepherd, Lara D.
Publicado: (2017)

Computerized catalogue of herbarium specimens of Salix in the southeastern United States /
por: Argus, George W.
Publicado: (1985)

A linear sequence to facilitate curation of herbarium specimens of Annonaceae
por: Chatrou, Lars W., et al.
Publicado: (2018)

Integrating herbarium specimen observations into global phenology data systems
por: Brenskelle, Laura, et al.
Publicado: (2019)

A benchmark dataset of herbarium specimen images with label data
por: Dillen, Mathias, et al.
Publicado: (2019)

The use and misuse of herbarium specimens in evaluating plant extinction risks
por: Nic Lughadha, Eimear, et al.
Publicado: (2019)

Alien flora of Zimbabwe: Data derived from herbarium specimens
por: Alfred, Maroyi
Publicado: (2022)

Estimating herbarium specimen digitization rates: Accounting for human experience
por: Powell, Caleb, et al.
Publicado: (2021)

Use of globally unique identifiers (GUIDs) to link herbarium specimen records to physical specimens
por: Nelson, Gil, et al.
Publicado: (2018)

Identification of herbarium specimen sheet components from high‐resolution images using deep learning
por: Thompson, Karen M., et al.
Publicado: (2023)

Species distribution modeling based on the automated identification of citizen observations
por: Botella, Christophe, et al.
Publicado: (2018)

The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels
por: Drinkwater, Robyn E., et al.
Publicado: (2014)

Patterns and biases in an Arctic herbarium specimen collection: Implications for phenological research
por: Panchen, Zoe A., et al.
Publicado: (2019)

Prediction of Lime Tolerance in Rhododendron Based on Herbarium Specimen and Geochemical Data
por: Wang, Shusheng, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_015u0dmm4ktnlcreg5quo9gjq0