# Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancing-soybean-disease-diagnosis-using-cnn-based-feature-extraction-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shiva Mehta,Vinay Kukreja |
| Citations | 1 |
| DOI | 10.1109/icoct64433.2025.11118652 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4413458790 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Shiva Mehta](https://scholariq.org/researchers/shiva-mehta/)
- [Vinay Kukreja](https://scholariq.org/researchers/vinay-kukreja/)

## 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/)
- [Technology and Security Systems](https://scholariq.org/topics/technology-and-security-systems/)

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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.