A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens

(2020) Tankred Ott et al.   Applications in Plant Sciences

Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens

(2020) Emily K. Meineke et al.   Applications in Plant Sciences

LeafMachine: Using machine learning to automate leaf trait extraction from digitized herbarium specimens

(2020) William N. Weaver et al.   Applications in Plant Sciences

Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning

(2020) Alexander E. White et al.   Applications in Plant Sciences

Maximizing human effort for analyzing scientific images: A case study using digitized herbarium sheets

(2020) Laura Brenskelle et al.   Applications in Plant Sciences

Using computer vision on herbarium specimen images to discriminate among closely related horsetails ( Equisetum )

(2020) Kathleen M. Pryer et al.   Applications in Plant Sciences

A new method and insights for estimating phenological events from herbarium specimens

(2019) Katelin D. Pearson   Applications in Plant Sciences

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras

(2019) Titouan Lorieul et al.   Applications in Plant Sciences

Spring- and fall-flowering species show diverging phenological responses to climate in the Southeast USA

(2019) Katelin D. Pearson   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus

(2019) Natalie L. Rossington Love et al.   Applications in Plant Sciences

Green digitization: Online botanical collections data answering real-world questions

(2018) Pamela S. Soltis et al.   Applications in Plant Sciences

Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants

(2018) Jennifer M. Yost et al.   Applications in Plant Sciences

Overlooked climate parameters best predict flowering onset: assessing phenological models using the elastic net

(2018) Isaac W. Park et al.   GLOBAL CHANGE BIOLOGY

Using herbaria to study global environmental change

(2018) Patricia L. M. Lang et al.   NEW PHYTOLOGIST

Herbarium specimens reveal substantial and unexpected variation in phenological sensitivity across the eastern United States

(2018) Daniel S. Park et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

CrowdCurio : an online crowdsourcing platform to facilitate climate change studies using herbarium specimens

(2017) Charles G. Willis et al.   NEW PHYTOLOGIST

Old Plants, New Tricks: Phenological Research Using Herbarium Specimens

(2017) Charles G. Willis et al.   TRENDS IN ECOLOGY & EVOLUTION

Increased variance in temperature and lag effects alter phenological responses to rapid warming in a subarctic plant community

(2016) Christa P. H. Mulder et al.   GLOBAL CHANGE BIOLOGY

Climate drives shifts in grass reproductive phenology across the western USA

(2016) Seth M. Munson et al.   NEW PHYTOLOGIST

Herbarium records are reliable sources of phenological change driven by climate and provide novel insights into species' phenological cueing mechanisms

(2015) Charles C. Davis et al.   AMERICAN JOURNAL OF BOTANY