# Flower Identification and Classification applying CNN through Deep Learning Methodologies

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/flower-identification-and-classification-applying-cnn-through-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ancha Venkata Sai,M. Sai Veerabhadra Hitesh,Vijaya Chandra Jadala,Sai Kiran Pasupuleti,S. Hrushikesava Raju,Mohammad Shameem |
| Citations | 12 |
| DOI | 10.1109/mecon53876.2022.9752231 |
| Fields | Agricultural and Biological Sciences,Chemistry,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4223927327 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Vijaya Chandra Jadala](https://scholariq.org/researchers/vijaya-chandra-jadala/)

## Paper journal

- [2022 International Mobile and Embedded Technology Conference (MECON)](https://scholariq.org/journals/2022-international-mobile-and-embedded-technology-conference-mecon/)

## 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/)
- [Biological and pharmacological studies of plants](https://scholariq.org/topics/biological-and-pharmacological-studies-of-plants/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.