# Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/potato-quality-grading-based-on-depth-imaging-and-convolutional-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qinghua Su,Naoshi Kondo,Dimas Firmanda Al Riza,Harshana Habaragamuwa |
| Citations | 38 |
| DOI | 10.1155/2020/8815896 |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1155/2020/8815896 |
| OpenAlex ID | https://openalex.org/W3109331847 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Dimas Firmanda Al Riza](https://scholariq.org/researchers/dimas-firmanda-al-riza/)

## 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/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

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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.