# Advancing County-Level Potato Cultivation Area Extraction: A Novel Approach Utilizing Multi-Source Remote Sensing Imagery and the Shapley Additive Explanations–Sequential Forward Selection–Random Forest Model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/advancing-county-level-potato-cultivation-area-extraction-a-novel-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qiao Li,Xueliang Fu,Honghui Li,Hao Zhou |
| Citations | 10 |
| DOI | 10.3390/agriculture15010092 |
| Fields | Chemistry,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2077-0472/15/1/92/pdf?version=1735886282 |
| OpenAlex ID | https://openalex.org/W4406033691 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Xueliang Fu](https://scholariq.org/researchers/xueliang-fu/)
- [Honghui Li](https://scholariq.org/researchers/honghui-li/)

## Paper journal

- [Agriculture](https://scholariq.org/journals/agriculture/)

## Paper primary topic

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

## Paper topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.