# Mobile-Optimised Deep Learning Architecture for Multi-Crop Disease Detection Using CNN and SVM

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mobile-optimised-deep-learning-architecture-for-multi-crop-disease-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yusuf Ibrahim,Muhammed Bashir Mu'azu,Mustapha Abdullahi Jimoh,Abdullahi Yunus |
| Citations | 0 |
| DOI | 10.4028/p-hanb9o |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.4028/p-hanb9o |
| OpenAlex ID | https://openalex.org/W7133954772 |
| Type | conference-paper |
| Year | 2026 |

## Paper authors

- [Yusuf Ibrahim](https://scholariq.org/researchers/yusuf-ibrahim/)

## Paper journal

- [Engineering headway](https://scholariq.org/journals/engineering-headway/)

## 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/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.