# Haseeb Nazki

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/haseeb-nazki/

## Facts

| Field | Value |
| --- | --- |
| Citations | 156 |
| Field | Smart Agriculture and AI |
| h-index | 4 |
| i10-index | 3 |
| Last Known Institution | University of St Andrews |
| OpenAlex ID | https://openalex.org/A5087534231 |
| ORCID iD | 0000-0003-0091-7065 |
| Works | 8 |

## Researcher papers

- [Artificial Intelligence Approach for Tomato Detection and Mass Estimation in Precision Agriculture](https://scholariq.org/papers/artificial-intelligence-approach-for-tomato-detection-and-mass-estimation-in/)
- [Image-to-Image Translation with GAN for Synthetic Data Augmentation in Plant Disease Datasets](https://scholariq.org/papers/image-to-image-translation-with-gan-for-synthetic-data-augmentation-in-plant/)
- [MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss](https://scholariq.org/papers/multipathgan-structure-preserving-stain-normalization-using-unsupervised-multi-2/)
- [Unsupervised image translation using adversarial networks for improved plant disease recognition](https://scholariq.org/papers/unsupervised-image-translation-using-adversarial-networks-for-improved-plant/)
- [MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss](https://scholariq.org/papers/multipathgan-structure-preserving-stain-normalization-using-unsupervised-multi/)
- [Unsupervised Image Translation using Adversarial Networks for Improved\n Plant Disease Recognition](https://scholariq.org/papers/unsupervised-image-translation-using-adversarial-networks-for-improved-n-plant/)
- [Whole Slide Images of H&amp;E Sections Digitised on Multiple Scanners.](https://scholariq.org/papers/whole-slide-images-of-h-and-amp-e-sections-digitised-on-multiple-scanners/)
- [Whole Slide Images of H&amp;E Sections Digitised on Multiple Scanners.](https://scholariq.org/papers/whole-slide-images-of-h-and-amp-e-sections-digitised-on-multiple-scanners-2/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Phytoplasmas and Hemiptera pathogens](https://scholariq.org/topics/phytoplasmas-and-hemiptera-pathogens/)
- [Computer Graphics and Visualization Techniques](https://scholariq.org/topics/computer-graphics-and-visualization-techniques/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [University of St Andrews](https://scholariq.org/institutions/university-of-st-andrews/)

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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.
