# Enhanced residual-attention deep neural network for disease classification in maize leaf images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhanced-residual-attention-deep-neural-network-for-disease-classification-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nidhi Parashar,Prashant Johri,Ahmed Elbeltagi,Ali Salem,Prakash Choudhary,Vijay Kumar,Tarun Agrawal |
| Citations | 8 |
| DOI | 10.1038/s41598-025-14726-1 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1038/s41598-025-14726-1 |
| OpenAlex ID | https://openalex.org/W4413108688 |
| PMID | 40790074 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Prakash Choudhary](https://scholariq.org/researchers/prakash-choudhary/)
- [Ali Salem](https://scholariq.org/researchers/ali-salem/)
- [Prashant Johri](https://scholariq.org/researchers/prashant-johri/)
- [Ahmed Elbeltagi](https://scholariq.org/researchers/ahmed-elbeltagi/)
- [Vijay Kumar](https://scholariq.org/researchers/vijay-kumar/)

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.