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American Bryological and Lichenological Society (ABLS)
American Fern Society (AFS)
American Society of Plant Taxonomists (ASPT)
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Presentations for Program:: The Potential of Machine Learning for Plant Biology

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SessionDate/TimeLocationTitleTypeAuthorsKeywords

Monday, July 29th

Monday, July 29th, 8:15 am to 12:00 pm · Tucson F/Starr Pass
Session SYM1: Symposium: The Potential of Machine Learning for Plant Biology
Presiding: Pamela Soltis, Florida Museum of Natural History
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SYM1July 29th 8:15 amTucson F/Starr PassThe Potential of Machine Learning for Plant Biology
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Symposium PresentationSoltis, Pamela; Nelson, Gil.machine learning
deep learning
convolutional neural networks
herbarium specimen images
phenology
phenotyping
cyberinfrastructure
SYM1001July 29th 8:15 amTucson F/Starr PassIntroduction to Machine Learning in Plant Biology: Overview, Potential, Challenges
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Symposium PresentationZare, Alina.machine learning
deep learning
SYM1002July 29th 8:45 amTucson F/Starr PassChallenges of plant species detection and identification by autonomous robot
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Symposium PresentationBonnet, Pierre; Adan, Mora-Fallas; Mata-Montero, Erick; Hervé, Goëau; Alexis, Joly.deep learning
Instance detection
plant identification
Plant detection
Weed control
agricultural robot
SYM1003July 29th 9:15 amTucson F/Starr PassAutomated visual analysis of Herbarium specimens for phenological data extraction
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Symposium PresentationMata-Montero, Erick; Mora-Fallas, Adan; Goëau, Hervé; Bonnet, Pierre; Joly, Alexis.deep learning
machine learning
convolutional neural network
herbarium data
natural history collections
July 29th 9:45 amTucson F/Starr PassBreak
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SYM1005July 29th 10:15 amTucson F/Starr PassEvaluating geographic patterns of morphological disparity in ferns and lycophytes using deep neural networks
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Symposium PresentationWhite, Alex; Trizna, Micheal; Frandsen, Paul; Dorr, Laurence; Dikow, Rebecca; Schuettpelz, Eric.machine learning
morphological disparity
biogeography
ferns
latitudinal diversity gradient
SYM1006July 29th 10:45 amTucson F/Starr PassMethods, New Software Tools, and Best Practices for Developing High-quality Training Data for Machine Learning-based Image Analysis in Biodiversity Research
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Symposium PresentationStucky, Brian; Guralnick, Robert.machine learning
Computer vision
Image labeling
SYM1007July 29th 11:15 amTucson F/Starr PassHuman in the loop machine learning applications in high throughput plant stress phenotyping
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Symposium PresentationSINGH, ARTI.phenotyping
deep learning

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