# Recognition of carrot appearance quality based on deep feature and support vector machine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/recognition-of-carrot-appearance-quality-based-on-deep-feature-and-support/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hongfei Zhu,Lianhe Yang,Jianwu Fei,Longgang Zhao,Zhongzhi Han |
| Citations | 70 |
| DOI | 10.1016/j.compag.2021.106185 |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3157905703 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Longgang Zhao](https://scholariq.org/researchers/longgang-zhao/)
- [Zhongzhi Han](https://scholariq.org/researchers/zhongzhi-han/)

## Paper journal

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

## 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/)
- [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.