# Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7

*PRI Rank #10 · Topics and Trends in Most Cited Plant Virus Research Studies Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/plant-virus-research-studies/2026/rank-10*

| Field | Value |
| --- | --- |
| Rank | #10 |
| 18m citations | 32 |
| Journal | IEEE Access |
| Year | 2024 |
| DOI | 10.1109/access.2024.3383154 |
| Corresponding authors | Muhammad Umar |
| Institution | Pir Mehr Ali Shah Arid Agriculture University, Pakistan |

**Ranking page:** [Topics and Trends in Most Cited Plant Virus Research Studies Papers, Class of 2026](https://pri.pepkio.com/top-papers/plant-virus-research-studies/2026)

**Paper link:** [10.1109/access.2024.3383154](https://doi.org/10.1109/access.2024.3383154)

## Topics

tomato plant disease detection · YOLOv7 · SimAM attention mechanism · DAiAM attention mechanism · max-pooling convolution (MPConv) · SIFT segmentation · CNN classifier · Tomato yellow leaf curl virus · leaf mold · light blight · early blight · mosaic virus · Septoria leaf spot · bacterial spot · precision agriculture · early yield estimation · feature extraction · target detection model · greenhouse data acquisition

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Plant Virus Research Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/plant-virus-research-studies/2026. Accessed 2026-07-17.

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
```