# Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-using-digitized-herbarium-specimens-to-advance-phenological/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Katelin D. Pearson,Gil Nelson,Myla F. J. Aronson,Pierre Bonnet,Laura Brenskelle,Charles C. Davis,Ellen G. Denny,Elizabeth R. Ellwood,Hervé Goëau,J. Mason Heberling,Alexis Joly,Titouan Lorieul,Susan J. Mazer,Emily K. Meineke,Brian J. Stucky,Patrick W. Sweeney,Alexander E. White,Pamela S. Soltis |
| Citations | 111 |
| DOI | 10.1093/biosci/biaa044 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://academic.oup.com/bioscience/article-pdf/70/7/610/33476139/biaa044.pdf |
| OpenAlex ID | https://openalex.org/W3025914776 |
| PMID | 32665738 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Hervé Goëau](https://scholariq.org/researchers/herve-goeau/)
- [Pierre Bonnet](https://scholariq.org/researchers/pierre-bonnet/)

## Paper primary topic

- [Species Distribution and Climate Change](https://scholariq.org/topics/species-distribution-and-climate-change/)

## Paper topics

- [Species Distribution and Climate Change](https://scholariq.org/topics/species-distribution-and-climate-change/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Plant and animal studies](https://scholariq.org/topics/plant-and-animal-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.