Taxon and trait recognition from digitized herbarium specimens using deep convolutional neural networks

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

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Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

The French Muséum national d’histoire naturelle vascular plant herbarium collection dataset

(2017) Gwenaël Le Bras et al.   Scientific Data

Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification

(2016) Jakob Unger et al.   BMC EVOLUTIONARY BIOLOGY

The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants

(2016) Robert Hoehndorf et al.   Journal of Biomedical Semantics

A look inside the Pl@ntNet experience

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Deep learning

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Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Introducing African Plants—A Photo Guide—An Interactive Photo Data-Base and Rapid Identification Tool for Continental Africa

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African Herbaria Support Transformation on the Continent1

(2011) Gideon F Smith et al.   ANNALS OF THE MISSOURI BOTANICAL GARDEN

COMPARATIVE STUDIES OF LEAF FORM: ASSESSING THE RELATIVE ROLES OF SELECTIVE PRESSURES AND PHYLOGENETIC CONSTRAINTS

(2010) THOMAS J. GIVNISH   NEW PHYTOLOGIST