# Classification of Basmati Rice Grain Variety using Image Processing and Principal Component Analysis

arXiv: https://arxiv.org/abs/1405.7626 · HTML: https://mlsanity.com/paper/1405.7626/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 May 2014.

## Built on by (most cited first, 3 of 3)

- [Saliency-Driven Active Contour Model for Image Segmentation](https://mlsanity.com/paper/2205.11063/) (2022)
- [Vision-Based Defect Classification and Weight Estimation of Rice Kernels](https://mlsanity.com/paper/2210.02665/) (2022)
- [Precision in Rice Variety Classification using Stacking-Based Ensemble Learning](https://mlsanity.com/paper/2609.10524/) (2026)

## Abstract (arXiv)

All important decisions about the variety of rice grain end product are based on the different features of rice grain.There are various methods available for classification of basmati rice. This paper proposed a new principal component analysis based approach for classification of different variety of basmati rice. The experimental result shows the effectiveness of the proposed methodology for various samples of different variety of basmati rice.