# Wheat yield estimation using remote sensing data based on machine learning approaches

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/wheat-yield-estimation-using-remote-sensing-data-based-on-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Enhui Cheng,Bing Zhang,Dailiang Peng,Liheng Zhong,Le Yu,Yao Liu,Chenchao Xiao,Cunjun Li,Xiaoyi Li,Yue Chen,Huichun Ye,Hongye Wang,Ruyi Yu,Jinkang Hu,Songlin Yang |
| Citations | 109 |
| DOI | 10.3389/fpls.2022.1090970 |
| Fields | Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.3389/fpls.2022.1090970 |
| OpenAlex ID | https://openalex.org/W4312176112 |
| PMID | 36618627 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Liheng Zhong](https://scholariq.org/researchers/liheng-zhong/)

## Paper journal

- [Frontiers in Plant Science](https://scholariq.org/journals/frontiers-in-plant-science/)

## 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/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Land Use and Ecosystem Services](https://scholariq.org/topics/land-use-and-ecosystem-services/)

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