# CNN Ensembles for Pear Leaf Disease Severity Estimation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cnn-ensembles-for-pear-leaf-disease-severity-estimation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohamed Rayane Lakehal,Hassiba Nemmour,Mohamed Lamine Bouibed,Yakout Fetmouche,Melissa Harchaoui,Youcef Chibani |
| Citations | 5 |
| DOI | 10.1109/icecs58634.2023.10382821 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4390693272 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Mohamed Rayane Lakehal](https://scholariq.org/researchers/mohamed-rayane-lakehal/)
- [Mohamed Lamine Bouibed](https://scholariq.org/researchers/mohamed-lamine-bouibed/)

## 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 Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [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.