# Javier Tardáguila

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/javier-tardaguila/

## Facts

| Field | Value |
| --- | --- |
| Citations | 5,051 |
| Field | Horticultural and Viticultural Research |
| h-index | 46 |
| i10-index | 91 |
| Last Known Institution | Universidad de La Rioja |
| OpenAlex ID | https://openalex.org/A5015899789 |
| ORCID iD | 0000-0002-6639-8723 |
| Works | 174 |

## Researcher papers

- [Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)](https://scholariq.org/papers/assessment-of-vineyard-water-status-variability-by-thermal-and-multispectral/)
- [Solar ultraviolet radiation is necessary to enhance grapevine fruit ripening transcriptional and phenolic responses](https://scholariq.org/papers/solar-ultraviolet-radiation-is-necessary-to-enhance-grapevine-fruit-ripening/)
- [Impact of Early Leaf Removal on Yield and Fruit and Wine Composition of<i>Vitis vinifera</i>L. Graciano and Carignan](https://scholariq.org/papers/impact-of-early-leaf-removal-on-yield-and-fruit-and-wine-composition-of-i-vitis/)
- [Geographical and Cultivar Features Differentiate Grape Microbiota in Northern Italy and Spain Vineyards](https://scholariq.org/papers/geographical-and-cultivar-features-differentiate-grape-microbiota-in-northern/)
- [Smart applications and digital technologies in viticulture: A review](https://scholariq.org/papers/smart-applications-and-digital-technologies-in-viticulture-a-review/)
- [Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions](https://scholariq.org/papers/grapevine-yield-and-leaf-area-estimation-using-supervised-classification/)
- [Validation of thermal indices for water status identification in grapevine](https://scholariq.org/papers/validation-of-thermal-indices-for-water-status-identification-in-grapevine/)
- [Automated early yield prediction in vineyards from on-the-go image acquisition](https://scholariq.org/papers/automated-early-yield-prediction-in-vineyards-from-on-the-go-image-acquisition/)
- [Identification of grapevine varieties using leaf spectroscopy and partial least squares](https://scholariq.org/papers/identification-of-grapevine-varieties-using-leaf-spectroscopy-and-partial-least/)
- [Vineyard water status assessment using on-the-go thermal imaging and machine learning](https://scholariq.org/papers/vineyard-water-status-assessment-using-on-the-go-thermal-imaging-and-machine/)
- [Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions](https://scholariq.org/papers/deep-learning-for-the-differentiation-of-downy-mildew-and-spider-mite-in/)
- [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/)

## Researcher topics

- [Horticultural and Viticultural Research](https://scholariq.org/topics/horticultural-and-viticultural-research/)
- [Fermentation and Sensory Analysis](https://scholariq.org/topics/fermentation-and-sensory-analysis/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Researcher university

- [Universidad de La Rioja](https://scholariq.org/institutions/universidad-de-la-rioja/)

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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.