# Sustainable Coffee Leaf Diagnosis: A Deep Knowledgeable Meta-Learning Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sustainable-coffee-leaf-diagnosis-a-deep-knowledgeable-meta-learning-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdullah Ali Salamai,Waleed Tawfiq Al-Nami |
| Citations | 9 |
| DOI | 10.3390/su152416791 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2071-1050/15/24/16791/pdf?version=1702457818 |
| OpenAlex ID | https://openalex.org/W4389678974 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Abdullah Ali Salamai](https://scholariq.org/researchers/abdullah-ali-salamai/)
- [Waleed Tawfiq Al-Nami](https://scholariq.org/researchers/waleed-tawfiq-al-nami/)

## Paper journal

- [Sustainability](https://scholariq.org/journals/sustainability/)

## 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/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

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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.