# A multi-scale cucumber disease detection method in natural scenes based on YOLOv5

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-multi-scale-cucumber-disease-detection-method-in-natural-scenes-based-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shufei Li,Kaiyu Li,Yan Qiao,Lingxian Zhang |
| Citations | 75 |
| DOI | 10.1016/j.compag.2022.107363 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4296058637 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Kaiyu Li](https://scholariq.org/researchers/kaiyu-li/)
- [Yan Qiao](https://scholariq.org/researchers/yan-qiao/)

## 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/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.