# Pre-Trained Deep Neural Network-Based Features Selection Supported Machine Learning for Rice Leaf Disease Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pre-trained-deep-neural-network-based-features-selection-supported-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Meenakshi Aggarwal,Vikas Khullar,Nitin Goyal,Aman Singh,Amr Tolba,Ernesto Bautista Thompson,Sushil Kumar |
| Citations | 83 |
| DOI | 10.3390/agriculture13050936 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2077-0472/13/5/936/pdf?version=1682337055 |
| OpenAlex ID | https://openalex.org/W4366990766 |
| Type | article |
| Year | 2023 |

## Paper authors

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

## Paper journal

- [Agriculture](https://scholariq.org/journals/agriculture/)

## 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/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.