# Coconut Disease Detection using Traditional ML Classifiers with GLCM and SIFT Features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/coconut-disease-detection-using-traditional-ml-classifiers-with-glcm-and-sift/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Asha Gowda Karegowda,D Vaishnavi,Y Harshalatha |
| Citations | 3 |
| DOI | 10.1109/csitss64042.2024.10816784 |
| Fields | Chemistry,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4405975350 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [D Vaishnavi](https://scholariq.org/researchers/d-vaishnavi/)

## Paper primary topic

- [Coconut Research and Applications](https://scholariq.org/topics/coconut-research-and-applications/)

## Paper topics

- [Coconut Research and Applications](https://scholariq.org/topics/coconut-research-and-applications/)
- [Natural Products and Biological Research](https://scholariq.org/topics/natural-products-and-biological-research/)

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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.