# Rubén Íñiguez

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ruben-iniguez/

## Facts

| Field | Value |
| --- | --- |
| Citations | 134 |
| Field | Horticultural and Viticultural Research |
| h-index | 5 |
| i10-index | 5 |
| Last Known Institution | Consejo Superior de Investigaciones Científicas |
| OpenAlex ID | https://openalex.org/A5027057250 |
| ORCID iD | 0000-0001-6422-9515 |
| Works | 16 |

## Researcher papers

- [Artificial Intelligence and Novel Sensing Technologies for Assessing Downy Mildew in Grapevine](https://scholariq.org/papers/artificial-intelligence-and-novel-sensing-technologies-for-assessing-downy/)
- [Assessing and mapping vineyard water status using a ground mobile thermal imaging platform](https://scholariq.org/papers/assessing-and-mapping-vineyard-water-status-using-a-ground-mobile-thermal/)
- [Impact of Leaf Occlusions on Yield Assessment by Computer Vision in Commercial Vineyards](https://scholariq.org/papers/impact-of-leaf-occlusions-on-yield-assessment-by-computer-vision-in-commercial/)
- [In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine](https://scholariq.org/papers/in-field-disease-symptom-detection-and-localisation-using-explainable-deep-2/)
- [Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions](https://scholariq.org/papers/deep-learning-modelling-for-non-invasive-grape-bunch-detection-under-diverse/)
- [Mejorando el presente, asegurando el futuro: decenio de las Naciones Unidas de la Educación para el Desarrollo Sostenible (2005-2014)](https://scholariq.org/papers/mejorando-el-presente-asegurando-el-futuro-decenio-de-las-naciones-unidas-de-la/)
- [Using artificial intelligence (AI) for grapevine disease detection based on images](https://scholariq.org/papers/using-artificial-intelligence-ai-for-grapevine-disease-detection-based-on-images/)
- [On-the-go assessment of the grapevine trunk’s diameter: a comparison of different convolutional neural networks](https://scholariq.org/papers/on-the-go-assessment-of-the-grapevine-trunk-s-diameter-a-comparison-of-different/)
- [In-Field Disease Symptom Detection and Localisation Using Explainable Deep Learning: Use Case for Downy Mildew in Grapevine](https://scholariq.org/papers/in-field-disease-symptom-detection-and-localisation-using-explainable-deep/)
- [19. Assessing actual number of grapevine berries using linear methods and machine learning](https://scholariq.org/papers/19-assessing-actual-number-of-grapevine-berries-using-linear-methods-and-machine/)

## Researcher 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Plant Physiology and Cultivation Studies](https://scholariq.org/topics/plant-physiology-and-cultivation-studies/)

## Researcher university

- [Consejo Superior de Investigaciones Científicas](https://scholariq.org/institutions/consejo-superior-de-investigaciones-cientificas/)

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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.