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The Potential of Machine Learning for Plant Biology

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IDTitleSection/TopicAuthorsKeywords
768Automated visual analysis of Herbarium specimens for phenological data extractionThe Potential of Machine Learning for Plant BiologyMata-Montero, Erick; Mora-Fallas, Adan; Goëau, Hervé; Bonnet, Pierre; Joly, Alexis.deep learning
machine learning
convolutional neural network
herbarium data
natural history collections
804Challenges of plant species detection and identification by autonomous robotThe Potential of Machine Learning for Plant BiologyBonnet, Pierre; Adan, Mora-Fallas; Mata-Montero, Erick; Hervé, Goëau; Alexis, Joly.deep learning
Instance detection
plant identification
Plant detection
Weed control
agricultural robot
684Evaluating geographic patterns of morphological disparity in ferns and lycophytes using deep neural networks The Potential of Machine Learning for Plant BiologyWhite, Alex; Trizna, Micheal; Frandsen, Paul; Dorr, Laurence; Dikow, Rebecca; Schuettpelz, Eric.machine learning
morphological disparity
biogeography
ferns
latitudinal diversity gradient
973Human in the loop machine learning applications in high throughput plant stress phenotypingThe Potential of Machine Learning for Plant BiologySINGH, ARTI.phenotyping
deep learning
751Introduction to Machine Learning in Plant Biology: Overview, Potential, ChallengesThe Potential of Machine Learning for Plant BiologyZare, Alina.machine learning
deep learning
965Methods, New Software Tools, and Best Practices for Developing High-quality Training Data for Machine Learning-based Image Analysis in Biodiversity ResearchThe Potential of Machine Learning for Plant BiologyStucky, Brian; Guralnick, Robert.machine learning
Computer vision
Image labeling
34The Potential of Machine Learning for Plant BiologyThe Potential of Machine Learning for Plant BiologySoltis, Pamela; Nelson, Gil.machine learning
deep learning
convolutional neural networks
herbarium specimen images
phenology
phenotyping
cyberinfrastructure

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