# Automatic grape leaf diseases identification via UnitedModel based on multiple convolutional neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-grape-leaf-diseases-identification-via-unitedmodel-based-on-multiple/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Miaomiao Ji,Lei Zhang,Qiufeng Wu |
| Citations | 229 |
| DOI | 10.1016/j.inpa.2019.10.003 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S2214317319301003/pdf |
| OpenAlex ID | https://openalex.org/W2981513382 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Miaomiao Ji](https://scholariq.org/researchers/miaomiao-ji/)
- [Lei Zhang](https://scholariq.org/researchers/lei-zhang/)
- [Qiufeng Wu](https://scholariq.org/researchers/qiufeng-wu/)

## Paper journal

- [Information Processing in Agriculture](https://scholariq.org/journals/information-processing-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/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.