# Artzai Picón

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/artzai-picon/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,085 |
| Field | Smart Agriculture and AI |
| h-index | 23 |
| i10-index | 38 |
| Last Known Institution | Euskadiko Parke Teknologikoa |
| OpenAlex ID | https://openalex.org/A5048902031 |
| ORCID iD | 0000-0002-3316-6571 |
| Works | 93 |

## Researcher papers

- [Automatic Red-Channel underwater image restoration](https://scholariq.org/papers/automatic-red-channel-underwater-image-restoration/)
- [Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild](https://scholariq.org/papers/deep-convolutional-neural-networks-for-mobile-capture-device-based-crop-disease/)
- [Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case](https://scholariq.org/papers/automatic-plant-disease-diagnosis-using-mobile-capture-devices-applied-on-a/)
- [Few-Shot Learning approach for plant disease classification using images taken in the field](https://scholariq.org/papers/few-shot-learning-approach-for-plant-disease-classification-using-images-taken/)
- [Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions](https://scholariq.org/papers/crop-conditional-convolutional-neural-networks-for-massive-multi-crop-plant/)
- [Deep learning to find colorectal polyps in colonoscopy: A systematic literature review](https://scholariq.org/papers/deep-learning-to-find-colorectal-polyps-in-colonoscopy-a-systematic-literature/)
- [MRI Deep Learning-Based Solution for Alzheimer’s Disease Prediction](https://scholariq.org/papers/mri-deep-learning-based-solution-for-alzheimer-s-disease-prediction/)
- [Fuzzy Spectral and Spatial Feature Integration for Classification of Nonferrous Materials in Hyperspectral Data](https://scholariq.org/papers/fuzzy-spectral-and-spatial-feature-integration-for-classification-of-nonferrous/)
- [Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets](https://scholariq.org/papers/deep-learning-based-segmentation-of-multiple-species-of-weeds-and-corn-crop/)
- [Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest](https://scholariq.org/papers/deep-neural-networks-for-ecg-based-pulse-detection-during-out-of-hospital/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Researcher university

- [Euskadiko Parke Teknologikoa](https://scholariq.org/institutions/euskadiko-parke-teknologikoa/)

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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.