# Image Classification for Rice varieties using Deep Learning Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/image-classification-for-rice-varieties-using-deep-learning-models/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Neema Prakash,R. Rajakumar,N Leela Madhuri,Modugula Siva Jyothi,Anita Bai,M. Manjunath,K Gowthami |
| Citations | 12 |
| DOI | 10.37896/ymer21.06/25 |
| Fields | Agricultural and Biological Sciences,Chemistry,Computer Science |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://doi.org/10.37896/ymer21.06/25 |
| OpenAlex ID | https://openalex.org/W4281760052 |
| Type | article |
| Year | 2022 |

## Paper authors

- [R. Rajakumar](https://scholariq.org/researchers/r-rajakumar/)

## Paper journal

- [YMER Digital](https://scholariq.org/journals/ymer-digital/)

## 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/)
- [Currency Recognition and Detection](https://scholariq.org/topics/currency-recognition-and-detection/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.