# Multi-Model Deep Learning Framework for Plant Disease Detection and Classification using YOLOv5, Xception, and DenseNet

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

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kunal Meshram,Sarika Khandelwal,Jyoti Kumre |
| Citations | 2 |
| DOI | 10.1109/icvadv63329.2025.10961482 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4409660272 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Kunal Meshram](https://scholariq.org/researchers/kunal-meshram/)
- [Sarika Khandelwal](https://scholariq.org/researchers/sarika-khandelwal/)
- [Jyoti Kumre](https://scholariq.org/researchers/jyoti-kumre/)

## 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/)

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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.