# A Deep Learning-Based Object Detection Scheme by Improving YOLOv5 for Sprouted Potatoes Datasets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-based-object-detection-scheme-by-improving-yolov5-for-sprouted/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guowei Dai,Lin Hu,Jingchao Fan,Shen Yan,Ruijing Li |
| Citations | 50 |
| DOI | 10.1109/access.2022.3192406 |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09832885.pdf |
| OpenAlex ID | https://openalex.org/W4285820694 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Guowei Dai](https://scholariq.org/researchers/guowei-dai/)
- [Jingchao Fan](https://scholariq.org/researchers/jingchao-fan/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)

## Paper topics

- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.