# Efficient Deep Learning-based Classification of Coffee Leaf Diseases using ResNet50

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-deep-learning-based-classification-of-coffee-leaf-diseases-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kanegonda Ravi Chythanya,Gaurav Tuteja,Saurabh Fulara,Chandra Kishore |
| Citations | 0 |
| DOI | 10.1109/icicnis66685.2025.11315694 |
| Fields | Agricultural and Biological Sciences,Environmental Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7117892344 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Kanegonda Ravi Chythanya](https://scholariq.org/researchers/kanegonda-ravi-chythanya/)
- [Saurabh Fulara](https://scholariq.org/researchers/saurabh-fulara/)

## 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/)
- [Coffee research and impacts](https://scholariq.org/topics/coffee-research-and-impacts/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.