# Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-detection-and-severity-analysis-of-grape-black-measles-disease-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Miaomiao Ji,Zhibin Wu |
| Citations | 107 |
| DOI | 10.1016/j.compag.2022.106718 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4206990632 |
| Type | article |
| Year | 2022 |

## Paper authors

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

## 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/)
- [Nematode management and characterization studies](https://scholariq.org/topics/nematode-management-and-characterization-studies/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)

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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.