# A machine learning approach for cross-domain plant identification using herbarium specimens

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-machine-learning-approach-for-cross-domain-plant-identification-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sophia Chulif,Sue Han Lee,Yang Chang,Kok Chin Chai |
| Citations | 33 |
| DOI | 10.1007/s00521-022-07951-6 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00521-022-07951-6.pdf |
| OpenAlex ID | https://openalex.org/W4308842369 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Sue Han Lee](https://scholariq.org/researchers/sue-han-lee/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Species Distribution and Climate Change](https://scholariq.org/topics/species-distribution-and-climate-change/)
- [Genomics and Phylogenetic Studies](https://scholariq.org/topics/genomics-and-phylogenetic-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.