# Hybrid CNN-Random Forest Framework for Elevated Accuracy in Powdery Mildew Disease Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-cnn-random-forest-framework-for-elevated-accuracy-in-powdery-mildew/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sandeep Kumar,Bhupesh Gupta |
| Citations | 2 |
| DOI | 10.1109/inocon60754.2024.10511653 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4396667943 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Sandeep Kumar](https://scholariq.org/researchers/sandeep-kumar/)
- [Bhupesh Gupta](https://scholariq.org/researchers/bhupesh-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/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Powdery Mildew Fungal Diseases](https://scholariq.org/topics/powdery-mildew-fungal-diseases/)

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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.