# Automatic Detection and Severity Assessment of Pepper Bacterial Spot Disease via MultiModels Based on Convolutional Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-detection-and-severity-assessment-of-pepper-bacterial-spot-disease-via/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qiufeng Wu,Miaomiao Ji,Zhao Deng |
| Citations | 19 |
| DOI | 10.4018/ijaeis.2020040103 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.igi-global.com/ViewTitle.aspx?TitleId=249690&isxn=9781799806943 |
| OpenAlex ID | https://openalex.org/W3008088527 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Miaomiao Ji](https://scholariq.org/researchers/miaomiao-ji/)

## Paper journal

- [International Journal of Agricultural and Environmental Information Systems](https://scholariq.org/journals/international-journal-of-agricultural-and-environmental-information-systems/)

## Paper primary topic

- [Plant Pathogenic Bacteria Studies](https://scholariq.org/topics/plant-pathogenic-bacteria-studies/)

## Paper topics

- [Plant Pathogenic Bacteria Studies](https://scholariq.org/topics/plant-pathogenic-bacteria-studies/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [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.