# Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana

*PRI Rank #15 · Topics and Trends in Most Cited Crop Yield and Soil Fertility Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/crop-yield-and-soil-fertility/2026/rank-15*

| Field | Value |
| --- | --- |
| Rank | #15 |
| 18m citations | 39 |
| Journal | Heliyon |
| Year | 2024 |
| DOI | 10.1016/j.heliyon.2024.e37065 |
| Corresponding authors | Eric Asamoah |
| Institution | Wageningen University & Research, Netherlands |

**Ranking page:** [Topics and Trends in Most Cited Crop Yield and Soil Fertility Papers, Class of 2026](https://pri.pepkio.com/top-papers/crop-yield-and-soil-fertility/2026)

**Paper link:** [10.1016/j.heliyon.2024.e37065](https://doi.org/10.1016/j.heliyon.2024.e37065)

## Topics

Random forest · Maize yield prediction · Agronomic efficiency · nutrient use efficiency · fertilizer application · soil variables · climate variables · nested cross-validation · model efficiency coefficient · prediction interval coverage probability · AE-N · AE-P · AE-K · georeferenced treatment plots · field trials · temperature · rainfall · Sub-Saharan Africa · Ghana

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Crop Yield and Soil Fertility Papers, Class of 2026. https://pri.pepkio.com/top-papers/crop-yield-and-soil-fertility/2026. Accessed 2026-07-21.

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
```