# A Convolutional Neural Network (CNN) Based Classification Framework for Multi-Crop Disease Detection using Leaf Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-convolutional-neural-network-cnn-based-classification-framework-for-multi-crop/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vinay Sampatrao Mandlik,Lenina Birgale |
| Citations | 0 |
| DOI | 10.12944/carj.13.3.15 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.agriculturejournal.org/download/26365 |
| OpenAlex ID | https://openalex.org/W7124283317 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Vinay Sampatrao Mandlik](https://scholariq.org/researchers/vinay-sampatrao-mandlik/)
- [Lenina Birgale](https://scholariq.org/researchers/lenina-birgale/)

## Paper journal

- [Current Agriculture Research Journal](https://scholariq.org/journals/current-agriculture-research-journal/)

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

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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.