# CST: Convolutional Swin Transformer for detecting the degree and types of plant diseases

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cst-convolutional-swin-transformer-for-detecting-the-degree-and-types-of-plant/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yifan Guo,Yanting Lan,Xiao Dong Chen |
| Citations | 96 |
| DOI | 10.1016/j.compag.2022.107407 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4307111147 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yifan Guo](https://scholariq.org/researchers/yifan-guo/)
- [Yanting Lan](https://scholariq.org/researchers/yanting-lan/)
- [Xiao Dong Chen](https://scholariq.org/researchers/xiao-dong-chen/)

## 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/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.