# RiceNet: A deep convolutional neural network approach for classification of rice varieties

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ricenet-a-deep-convolutional-neural-network-approach-for-classification-of-rice/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nusrat Mohi Ud Din,Assif Assad,Rayees Ahmad Dar,Muzafar Rasool,Saqib Ul Sabha,Tabasum Majeed,Zahir Ul Islam,Wahid Gulzar,Aamir Yaseen |
| Citations | 61 |
| DOI | 10.1016/j.eswa.2023.121214 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology,Chemistry |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385973494 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Assif Assad](https://scholariq.org/researchers/assif-assad/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## 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/)
- [Identification and Quantification in Food](https://scholariq.org/topics/identification-and-quantification-in-food/)
- [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.