# Predicting Potato Crop Yield with Machine Learning and Deep Learning for Sustainable Agriculture

*PRI Rank #1 · Topics and Trends in Most Cited Potato Plant Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/potato-plant-research/2026/rank-1*

| Field | Value |
| --- | --- |
| Rank | #1 |
| 18m citations | 67 |
| Journal | Potato Research |
| Year | 2024 |
| DOI | 10.1007/s11540-024-09753-w |
| Corresponding authors | Nima Khodadadi |
| Institution | Delta Higher Institute of Engineering and Technology, Egypt |

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

**Paper link:** [10.1007/s11540-024-09753-w](https://doi.org/10.1007/s11540-024-09753-w)

## Topics

Potato yield prediction · K-nearest neighbors (KNN) · gradient boosting · XGBoost · multilayer perceptron · graph neural networks (GNNs) · gated recurrent units (GRUs) · long short-term memory networks (LSTM) · mean squared error (MSE) · root mean squared error (RMSE) · mean absolute error (MAE) · R-squared (R²) · spatial-temporal pattern recognition · Sustainable agriculture · food security forecasting

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Potato Plant Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/potato-plant-research/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
```