# Leveraging the performance of Deep Learning Models for Corn Leaf Disease Diagnosis using DenseNet201 and Xception

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/leveraging-the-performance-of-deep-learning-models-for-corn-leaf-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rajan Karmacharya,Prashant Aryal,Prashant S. Giri |
| Citations | 1 |
| DOI | 10.3126/sxcj.v2i1.81673 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.nepjol.info/index.php/sxcj/article/download/81673/62628 |
| OpenAlex ID | https://openalex.org/W4412395753 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Rajan Karmacharya](https://scholariq.org/researchers/rajan-karmacharya/)
- [Prashant S. Giri](https://scholariq.org/researchers/prashant-s-giri/)

## Paper journal

- [SXC JOURNAL.](https://scholariq.org/journals/sxc-journal/)

## 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/)

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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.