# Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data

*PRI Rank #2 · 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-2*

| Field | Value |
| --- | --- |
| Rank | #2 |
| 18m citations | 53 |
| Journal | Computers and Electronics in Agriculture |
| Year | 2024 |
| DOI | 10.1016/j.compag.2024.108808 |
| Corresponding authors | Haikuan Feng |
| Institution | China Agricultural University, China |

**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:** [10.1016/j.compag.2024.108808](https://doi.org/10.1016/j.compag.2024.108808)

## Topics

potato AGB estimation · phenological stage impacts · depth features · hyperspectral data · above-ground biomass · spectral depth analysis · crop growth monitoring · remote sensing · vegetation indices · temporal variability mitigation

## 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
```