# Detection of Coffee Leaf Diseases using DenseNet-264 and SLIC Segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-coffee-leaf-diseases-using-densenet-264-and-slic-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Savitri Kulkarni,H N Shravan,M V Veeresh,P. Deepa Shenoy,K R Venugopal |
| Citations | 6 |
| DOI | 10.1109/upcon59197.2023.10434875 |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4392175774 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Savitri Kulkarni](https://scholariq.org/researchers/savitri-kulkarni/)

## 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/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.