# A Novel Approach For the Detection of Tea Leaf Disease Using Deep Neural Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-approach-for-the-detection-of-tea-leaf-disease-using-deep-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Saikat Datta,Nitin Gupta |
| Citations | 75 |
| DOI | 10.1016/j.procs.2023.01.203 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.procs.2023.01.203 |
| OpenAlex ID | https://openalex.org/W4318570506 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Saikat Datta](https://scholariq.org/researchers/saikat-datta/)
- [Nitin Gupta](https://scholariq.org/researchers/nitin-gupta/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)

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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.