# Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods

*PRI Rank #7 · Topics and Trends in Most Cited Agriculture and Biological Studies Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/agriculture-and-biological-studies/2026/rank-7*

| Field | Value |
| --- | --- |
| Rank | #7 |
| 18m citations | 16 |
| Journal | IEEE Access |
| Year | 2024 |
| DOI | 10.1109/access.2024.3361046 |
| Corresponding authors | Jamalbek Tussupov |
| Institution | L. N. Gumilyov Eurasian National University, Kazakhstan |

**Ranking page:** [Topics and Trends in Most Cited Agriculture and Biological Studies Papers, Class of 2026](https://pri.pepkio.com/top-papers/agriculture-and-biological-studies/2026)

**Paper link:** [10.1109/access.2024.3361046](https://doi.org/10.1109/access.2024.3361046)

## Topics

formal concept analysis · crop pest verification · crop disease verification · spectral brightness coefficients · machine learning classification · logistic regression · Extreme gradient boosting · Extreme gradient boosting · Vanilla convolutional neural network · satellite image analysis · spectral data analysis · early detection of crop pests · early detection of crop diseases · agricultural productivity optimization · growing season monitoring · pest growth phase classification · disease growth phase classification · automated agricultural systems · remote sensing for agriculture

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Agriculture and Biological Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/agriculture-and-biological-studies/2026. Accessed 2026-10-29.

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
```