# Hybrid feature optimized CNN for rice crop disease prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-feature-optimized-cnn-for-rice-crop-disease-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sujith Vijayan,Chiranji Lal Chowdhary |
| Citations | 25 |
| DOI | 10.1038/s41598-025-92646-w |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-025-92646-w.pdf |
| OpenAlex ID | https://openalex.org/W4408185621 |
| PMID | 40050403 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Sujith Vijayan](https://scholariq.org/researchers/sujith-vijayan/)
- [Chiranji Lal Chowdhary](https://scholariq.org/researchers/chiranji-lal-chowdhary/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

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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.