# DA-ActNN-YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/da-actnn-yolov5-hybrid-yolo-v5-model-with-data-augmentation-and-activation-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guowei Dai,Lin Hu,Jingchao Fan |
| Citations | 37 |
| DOI | 10.1155/2022/6114061 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/cin/2022/6114061.pdf |
| OpenAlex ID | https://openalex.org/W4297037080 |
| PMID | 36193182 |
| Type | article |
| Year | 2022 |

## Paper authors

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

## 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 Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

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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.