# Advancements in deep learning for accurate classification of grape leaves and diagnosis of grape diseases

*PRI Rank #2 · Topics and Trends in Most Cited Horticultural and Viticultural Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/horticultural-and-viticultural-research/2026/rank-2*

| Field | Value |
| --- | --- |
| Rank | #2 |
| 18m citations | 69 |
| Journal | Journal of Plant Diseases and Protection |
| Year | 2024 |
| DOI | 10.1007/s41348-024-00896-z |
| Corresponding authors | İsmail Kunduracıoğlu |
| Institution | Igdir University, Turkey |

**Ranking page:** [Topics and Trends in Most Cited Horticultural and Viticultural Research Papers, Class of 2026](https://pri.pepkio.com/top-papers/horticultural-and-viticultural-research/2026)

**Paper link:** [10.1007/s41348-024-00896-z](https://doi.org/10.1007/s41348-024-00896-z)

## Topics

Grape disease classification · Grape disease classification · deep learning · Pre-trained models · vision transformer models · PlantVillage dataset · Grapevine dataset · Black Rot · Leaf Blight · Esca · fine-tuning · Swinv2-Base · digital image analysis · early disease detection · Grapevine phenotyping

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Horticultural and Viticultural Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/horticultural-and-viticultural-research/2026. Accessed 2026-07-22.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```