# Optimized Deep Learning Model EfficientNetB3 for Potato-Tomato Disease Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimized-deep-learning-model-efficientnetb3-for-potato-tomato-disease-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kanegonda Ravi Chythanya,Gaurav Tuteja,Saurabh Fulara,Chandra Kishore |
| Citations | 0 |
| DOI | 10.1109/icicnis66685.2025.11315540 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7117881953 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Kanegonda Ravi Chythanya](https://scholariq.org/researchers/kanegonda-ravi-chythanya/)
- [Gaurav Tuteja](https://scholariq.org/researchers/gaurav-tuteja/)
- [Saurabh Fulara](https://scholariq.org/researchers/saurabh-fulara/)
- [Chandra Kishore](https://scholariq.org/researchers/chandra-kishore/)

## 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/)
- [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.