# Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-deep-learning-framework-for-multi-class-plant-disease-classification-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shova Dilla,Sukadev Meher |
| Citations | 0 |
| DOI | 10.1109/icecie66637.2025.11363854 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7127339239 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Shova Dilla](https://scholariq.org/researchers/shova-dilla/)
- [Sukadev Meher](https://scholariq.org/researchers/sukadev-meher/)

## 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 Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.