# Tomato Plant Leaf Disease Classification based on CNN features and Support Vector Machines

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/tomato-plant-leaf-disease-classification-based-on-cnn-features-and-support/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amine Mezenner,Hassiba Nemmour,Youcef Chibani,Adel Hafiane |
| Citations | 14 |
| DOI | 10.1109/icaee53772.2022.9962070 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4310528528 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Amine Mezenner](https://scholariq.org/researchers/amine-mezenner/)

## Paper journal

- [2022 2nd International Conference on Advanced Electrical Engineering (ICAEE)](https://scholariq.org/journals/2022-2nd-international-conference-on-advanced-electrical-engineering-icaee/)

## 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.