Works matching IS 21680450 AND DT 2020 AND VI 8 AND IP 6
Results: 10
Maximizing human effort for analyzing scientific images: A case study using digitized herbarium sheets.
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11370
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- Article
Using computer vision on herbarium specimen images to discriminate among closely related horsetails (Equisetum).
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11372
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- Article
Plants meet machines: Prospects in machine learning for plant biology.
- Published in:
- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11371
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- Article
Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens.
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11369
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- Article
A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction.
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11368
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- Article
LeafMachine: Using machine learning to automate leaf trait extraction from digitized herbarium specimens.
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11367
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- Article
An algorithm competition for automatic species identification from herbarium specimens.
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11365
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- Article
Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning.
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11352
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- Article
GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens.
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- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11351
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- Article
Issue Information.
- Published in:
- Applications in Plant Sciences, 2020, v. 8, n. 6, p. 1, doi. 10.1002/aps3.11260
- Publication type:
- Article