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Past and future uses of text mining in ecology and evolution
Ecology and evolutionary biology, like other scientific fields, are experiencing an
exponential growth of academic manuscripts. As domain knowledge accumulates, scientists …
exponential growth of academic manuscripts. As domain knowledge accumulates, scientists …
Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
A novel automated label data extraction and data base generation system from herbarium specimen images using OCR and NER
A Takano, TCH Cole, H Konagai - Scientific Reports, 2024 - nature.com
Digital extraction of label data from natural history specimens along with more efficient
procedures of data entry and processing is essential for improving documentation and …
procedures of data entry and processing is essential for improving documentation and …
Drowning in data, thirsty for information and starved for understanding: A biodiversity information hub for cooperative environmental monitoring in South Africa
The world is firmly cemented in a notitian age (Latin: notitia, meaning data)–drowning in
data, yet thirsty for information and the synthesis of knowledge into understanding. As …
data, yet thirsty for information and the synthesis of knowledge into understanding. As …
Humans in the loop: Community science and machine learning synergies for overcoming herbarium digitization bottlenecks
Premise Among the slowest steps in the digitization of natural history collections is
converting imaged labels into digital text. We present here a working solution to overcome …
converting imaged labels into digital text. We present here a working solution to overcome …
The specimen data refinery: a canonical workflow framework and FAIR digital object approach to speeding up digital mobilisation of natural history collections
A key limiting factor in organising and using information from physical specimens curated in
natural science collections is making that information computable, with institutional …
natural science collections is making that information computable, with institutional …
Landscape analysis for the specimen data refinery
This report reviews the current state-of-the-art applied approaches on automated tools,
services and workflows for extracting information from images of natural history specimens …
services and workflows for extracting information from images of natural history specimens …
PENet: A phenotype encoding network for automatic extraction and representation of morphological discriminative features
Digitalized natural history collections serve as vital ecological and evolutionary research
resources. Specimen retrieval based on morphological features allows for the rapid …
resources. Specimen retrieval based on morphological features allows for the rapid …
A cost analysis of transcription systems
We compare different approaches to transcribing natural history data and summarise the
advantages and disadvantages of each approach using six case studies from four different …
advantages and disadvantages of each approach using six case studies from four different …
Hespi: A pipeline for automatically detecting information from hebarium specimen sheets
Specimen associated biodiversity data are sought after for biological, environmental,
climate, and conservation sciences. A rate shift is required for the extraction of data from …
climate, and conservation sciences. A rate shift is required for the extraction of data from …