# An Empirical Study of ResNet50 Hyperparameter Tuning for Plant Disease Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-empirical-study-of-resnet50-hyperparameter-tuning-for-plant-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rohit Abhishek,Somak Aditya,S. Narayana,B Suma |
| Citations | 0 |
| DOI | 10.1109/csitss64042.2024.10816835 |
| Fields | Agricultural and Biological Sciences,Engineering,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4405974968 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Rohit Abhishek](https://scholariq.org/researchers/rohit-abhishek/)
- [S. Narayana](https://scholariq.org/researchers/s-narayana/)
- [Somak Aditya](https://scholariq.org/researchers/somak-aditya/)
- [B Suma](https://scholariq.org/researchers/b-suma/)

## 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/)
- [Wireless Sensor Networks and IoT](https://scholariq.org/topics/wireless-sensor-networks-and-iot/)
- [Energy and Environmental Systems](https://scholariq.org/topics/energy-and-environmental-systems/)

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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.