# Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/edge-optimized-multimodal-cross-fusion-architecture-for-efficient-crop-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thomas Kinyanjui Njoroge,Kelvin Mugoye Shindu,Rachael Kibuku |
| Citations | 0 |
| DOI | 10.53378/ijstem.353186 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://iiari.org/wp-content/uploads/ijstem.v5.2.2833.pdf |
| OpenAlex ID | https://openalex.org/W4410709374 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Thomas Kinyanjui Njoroge](https://scholariq.org/researchers/thomas-kinyanjui-njoroge/)

## Paper journal

- [International Journal of Science Technology Engineering and Mathematics](https://scholariq.org/journals/international-journal-of-science-technology-engineering-and-mathematics/)

## 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.