# Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hyperspectral-imaging-for-accurate-determination-of-rice-variety-using-a-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shizhuang Weng,Peipei Tang,Hecai Yuan,Bingqing Guo,S.K. Yu,Linsheng Huang,Chao Xu |
| Citations | 118 |
| DOI | 10.1016/j.saa.2020.118237 |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3009099638 |
| PMID | 32200232 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Linsheng Huang](https://scholariq.org/researchers/linsheng-huang/)

## Paper primary topic

- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

## Paper topics

- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [GABA and Rice Research](https://scholariq.org/topics/gaba-and-rice-research/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)

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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.