# Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/embracing-limited-and-imperfect-training-datasets-opportunities-and-challenges/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mingle Xu,Hyongsuk Kim,Jucheng Yang,Alvaro Fuentes,Yao Meng,Sook Yoon,Tae-Hyun Kim,Dong Sun Park |
| Citations | 49 |
| DOI | 10.3389/fpls.2023.1225409 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fpls.2023.1225409/pdf?isPublishedV2=False |
| OpenAlex ID | https://openalex.org/W4386952528 |
| PMID | 37810377 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Alvaro Fuentes](https://scholariq.org/researchers/alvaro-fuentes/)

## Paper journal

- [Frontiers in Plant Science](https://scholariq.org/journals/frontiers-in-plant-science/)

## 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/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-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.