# Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-cnn-and-amp-random-forest-approach-for-accurate-identification-of-tomato/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Deepak Banerjee,Vinay Kukreja,Shanmugasundaram Hariharan,Vishal Jain,Varun Jindal |
| Citations | 44 |
| DOI | 10.1109/wconf58270.2023.10235210 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4386427000 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Varun Jindal](https://scholariq.org/researchers/varun-jindal/)

## 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.