# Comparison of CNN-Based Features with Gradient Features for Tomato Plant Leaf Disease Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparison-of-cnn-based-features-with-gradient-features-for-tomato-plant-leaf/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amine Mezenner,Hassiba Nemmour,Youcef Chibani,Adel Hafiane |
| Citations | 3 |
| DOI | 10.1201/9781003391272-3 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4387100316 |
| Type | book-chapter |
| Year | 2023 |

## Paper authors

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

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)

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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.