# Detection of powdery mildew on strawberry leaves based on DAC-YOLOv4 model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-powdery-mildew-on-strawberry-leaves-based-on-dac-yolov4-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yang Li,Jianchun Wang,Huarui Wu,Yang Yu,Haibo Sun,Hong Zhang |
| Citations | 60 |
| DOI | 10.1016/j.compag.2022.107418 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.compag.2022.107418 |
| OpenAlex ID | https://openalex.org/W4304112951 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Huarui Wu](https://scholariq.org/researchers/huarui-wu/)

## 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/)
- [Powdery Mildew Fungal Diseases](https://scholariq.org/topics/powdery-mildew-fungal-diseases/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)

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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.