# In-Field Disease Symptom Detection and Localisation Using Explainable Deep Learning: Use Case for Downy Mildew in Grapevine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/in-field-disease-symptom-detection-and-localisation-using-explainable-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Inés Hernández,Salvador Gutiérrez,Ignacio Barrio,Rubén Íñiguez,Javier Tardáguila |
| Citations | 2 |
| DOI | 10.2139/ssrn.4849500 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | green |
| OA URL | http://dx.doi.org/10.2139/ssrn.4849500 |
| OpenAlex ID | https://openalex.org/W4399203444 |
| Type | preprint |
| Year | 2024 |

## Paper authors

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

## Paper journal

- [SSRN Electronic Journal](https://scholariq.org/journals/ssrn-electronic-journal/)

## Paper primary topic

- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

## Paper topics

- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)
- [Horticultural and Viticultural Research](https://scholariq.org/topics/horticultural-and-viticultural-research/)
- [Powdery Mildew Fungal Diseases](https://scholariq.org/topics/powdery-mildew-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.