# Development of Efficient CNN model for Tomato crop disease identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-efficient-cnn-model-for-tomato-crop-disease-identification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohit Agarwal,Suneet Gupta,Kanad K. Biswas |
| Citations | 325 |
| DOI | 10.1016/j.suscom.2020.100407 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3039201839 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Mohit Agarwal](https://scholariq.org/researchers/mohit-agarwal/)
- [Suneet Gupta](https://scholariq.org/researchers/suneet-gupta/)

## 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.