# Deep learning-based sugarcane leaf disease detection using Xception: a precision agriculture approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-sugarcane-leaf-disease-detection-using-xception-a-precision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Harish A. Jardawala |
| Citations | 6 |
| DOI | 10.1049/icp.2025.1680 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4411715083 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Harish A. Jardawala](https://scholariq.org/researchers/harish-a-jardawala/)

## Paper journal

- [IET conference proceedings.](https://scholariq.org/journals/iet-conference-proceedings/)

## 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/)
- [Sugarcane Cultivation and Processing](https://scholariq.org/topics/sugarcane-cultivation-and-processing/)

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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.