# Salvador Gutiérrez

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/salvador-gutierrez/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,222 |
| Field | Horticultural and Viticultural Research |
| h-index | 21 |
| i10-index | 28 |
| Last Known Institution | Universidad de Granada |
| OpenAlex ID | https://openalex.org/A5000846829 |
| ORCID iD | 0000-0002-8205-9772 |
| Works | 90 |

## Researcher papers

- [Smart applications and digital technologies in viticulture: A review](https://scholariq.org/papers/smart-applications-and-digital-technologies-in-viticulture-a-review/)
- [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/)
- [On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties](https://scholariq.org/papers/on-the-go-hyperspectral-imaging-under-field-conditions-and-machine-learning-for/)
- [On-the-go hyperspectral imaging for the in-field estimation of grape berry soluble solids and anthocyanin concentration](https://scholariq.org/papers/on-the-go-hyperspectral-imaging-for-the-in-field-estimation-of-grape-berry/)
- [Ground based hyperspectral imaging for extensive mango yield estimation](https://scholariq.org/papers/ground-based-hyperspectral-imaging-for-extensive-mango-yield-estimation/)
- [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/)
- [Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer](https://scholariq.org/papers/support-vector-machine-and-artificial-neural-network-models-for-the/)
- [Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis](https://scholariq.org/papers/grapevine-flower-estimation-by-applying-artificial-vision-techniques-on-images/)
- [Non‐destructive assessment of grapevine water status in the field using a portable <scp>NIR</scp> spectrophotometer](https://scholariq.org/papers/non-destructive-assessment-of-grapevine-water-status-in-the-field-using-a/)
- [Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation](https://scholariq.org/papers/spectral-filter-design-based-on-in-field-hyperspectral-imaging-and-machine/)
- [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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Fermentation and Sensory Analysis](https://scholariq.org/topics/fermentation-and-sensory-analysis/)

## Researcher university

- [Universidad de Granada](https://scholariq.org/institutions/universidad-de-granada/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.