# Efficient residual network using hyperspectral images for corn variety identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-residual-network-using-hyperspectral-images-for-corn-variety/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xueyong Li,Mingjia Zhai,Liyuan Zheng,Ling Zhou,Xiwang Xie,Wenyi Zhao,Weidong Zhang |
| Citations | 15 |
| DOI | 10.3389/fpls.2024.1376915 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1376915/pdf |
| OpenAlex ID | https://openalex.org/W4394854222 |
| PMID | 38689841 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Liyuan Zheng](https://scholariq.org/researchers/liyuan-zheng/)

## Paper journal

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

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.