# Deep Learning-Based Phenotyping System With Glocal Description of Plant Anomalies and Symptoms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-phenotyping-system-with-glocal-description-of-plant/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alvaro Fuentes,Sook Yoon,Dong Sun Park |
| Citations | 53 |
| DOI | 10.3389/fpls.2019.01321 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fpls.2019.01321/pdf |
| OpenAlex ID | https://openalex.org/W2983849081 |
| PMID | 31798598 |
| Type | article |
| Year | 2019 |

## 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 Pathogenic Bacteria Studies](https://scholariq.org/topics/plant-pathogenic-bacteria-studies/)
- [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.