# Evaluation of Enhanced Resnet-50 Based Deep Learning Classifier for Tomato Leaf Disease Detection and Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluation-of-enhanced-resnet-50-based-deep-learning-classifier-for-tomato-leaf/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Akash Saxena Laxmi Upadhyay |
| Citations | 11 |
| DOI | 10.52783/jes.1856 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://journal.esrgroups.org/jes/article/download/1856/1511 |
| OpenAlex ID | https://openalex.org/W4394824827 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Akash Saxena Laxmi Upadhyay](https://scholariq.org/researchers/akash-saxena-laxmi-upadhyay/)

## Paper journal

- [Journal of Electrical Systems](https://scholariq.org/journals/journal-of-electrical-systems/)

## 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/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

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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.