# Towards automated, efficient, and interpretable diagnosis coffee leaf disease: A dual-path visual transformer network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-automated-efficient-and-interpretable-diagnosis-coffee-leaf-disease-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdullah Ali Salamai |
| Citations | 13 |
| DOI | 10.1016/j.eswa.2024.124490 |
| Fields | Agricultural and Biological Sciences,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4399814618 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Abdullah Ali Salamai](https://scholariq.org/researchers/abdullah-ali-salamai/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## 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 Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Biosensors and Analytical Detection](https://scholariq.org/topics/biosensors-and-analytical-detection/)

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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.