# Plant disease recognition in a low data scenario using few-shot learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/plant-disease-recognition-in-a-low-data-scenario-using-few-shot-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Masoud Rezaei,Dean Diepeveen,Hamid Laga,Michael G.K. Jones,Ferdous Sohel |
| Citations | 103 |
| DOI | 10.1016/j.compag.2024.108812 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.compag.2024.108812 |
| OpenAlex ID | https://openalex.org/W4392432727 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Masoud Rezaei](https://scholariq.org/researchers/masoud-rezaei/)
- [Hamid Laga](https://scholariq.org/researchers/hamid-laga/)
- [Dean Diepeveen](https://scholariq.org/researchers/dean-diepeveen/)
- [Ferdous Sohel](https://scholariq.org/researchers/ferdous-sohel/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-agriculture/)

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)

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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.