Classification of Basmati Rice Grain Variety using Image Processing and Principal Component Analysis
This addresses the need for accurate rice variety classification in agriculture, but it is incremental as it builds on existing image processing methods.
The paper tackled the problem of classifying Basmati rice grain varieties by proposing a new principal component analysis-based approach, achieving effective classification results across various samples.
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.