# Using artificial intelligence (AI) for grapevine disease detection based on images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-artificial-intelligence-ai-for-grapevine-disease-detection-based-on-images/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Carlos Poblete-Echeverría,Inés Hernández,Salvador Gutiérrez,Rubén Íñiguez,Ignacio Barrio,Javier Tardáguila |
| Citations | 4 |
| DOI | 10.1051/bioconf/20236801021 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.bio-conferences.org/articles/bioconf/pdf/2023/13/bioconf_oiv2023_01021.pdf |
| OpenAlex ID | https://openalex.org/W4389392499 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Rubén Íñiguez](https://scholariq.org/researchers/ruben-iniguez/)

## Paper primary topic

- [Horticultural and Viticultural Research](https://scholariq.org/topics/horticultural-and-viticultural-research/)

## Paper topics

- [Horticultural and Viticultural Research](https://scholariq.org/topics/horticultural-and-viticultural-research/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

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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.