# Federated Transfer Learning for Rice-Leaf Disease Classification across Multiclient Cross-Silo Datasets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/federated-transfer-learning-for-rice-leaf-disease-classification-across/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Meenakshi Aggarwal,Vikas Khullar,Nitin Goyal,Rama Gautam,Fahad Alblehai,Magdy Elghatwary,Aman Singh |
| Citations | 53 |
| DOI | 10.3390/agronomy13102483 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2073-4395/13/10/2483/pdf?version=1695778003 |
| OpenAlex ID | https://openalex.org/W4387101314 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Meenakshi Aggarwal](https://scholariq.org/researchers/meenakshi-aggarwal/)
- [Vikas Khullar](https://scholariq.org/researchers/vikas-khullar/)

## Paper journal

- [Agronomy](https://scholariq.org/journals/agronomy/)

## 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/)
- [Nematode management and characterization studies](https://scholariq.org/topics/nematode-management-and-characterization-studies/)
- [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.