# Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pixel-level-regression-for-uav-hyperspectral-images-deep-learning-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jie Deng,Xunhe Zhang,Ziqian Yang,Congying Zhou,Rui Wang,Kai Zhang,Xuan Lv,Lujia Yang,Zhifang Wang,Pengju Li,Zhanhong Ma |
| Citations | 53 |
| DOI | 10.1016/j.compag.2023.108434 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4388794491 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Jie Deng](https://scholariq.org/researchers/jie-deng-2/)
- [Zhanhong Ma](https://scholariq.org/researchers/zhanhong-ma/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-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/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

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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.