# Enhancing the Accuracy of Chili Plant Disease Classification using Convolutional Neural Networks and Image Augmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancing-the-accuracy-of-chili-plant-disease-classification-using-convolutional/

## Facts

| Field | Value |
| --- | --- |
| Author Names | N. Lokeswari,Dita Pramesti,Hanif Fakhrurroja |
| Citations | 0 |
| DOI | 10.1109/iaict65714.2025.11100595 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4413256377 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [N. Lokeswari](https://scholariq.org/researchers/n-lokeswari/)
- [Dita Pramesti](https://scholariq.org/researchers/dita-pramesti/)
- [Hanif Fakhrurroja](https://scholariq.org/researchers/hanif-fakhrurroja/)

## 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/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

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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.