# A novel method for peanut variety identification and classification by Improved VGG16

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-method-for-peanut-variety-identification-and-classification-by-improved/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Haoyan Yang,Jiangong Ni,Jiyue Gao,Zhongzhi Han,Tao Luan |
| Citations | 168 |
| DOI | 10.1038/s41598-021-95240-y |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-021-95240-y.pdf |
| OpenAlex ID | https://openalex.org/W3190580795 |
| PMID | 34344983 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Jiangong Ni](https://scholariq.org/researchers/jiangong-ni/)
- [Zhongzhi Han](https://scholariq.org/researchers/zhongzhi-han/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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/)
- [Coconut Research and Applications](https://scholariq.org/topics/coconut-research-and-applications/)
- [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.