Vol. 11, Issue 1 (2022)

Author(s):
SK Mundotiya and Monika A Joshi

Abstract:
The scope of morphological differences between the existing rice varieties is less due to narrow genetic base, and requires skilled human power which is subjective in nature. Also this process is time, labour and cost intensive. To overcome these practical problems an approach for fast and precise recognition of crop varieties is required. Keeping in view the above facts, the present study was initiated with the objective of characterization and differentiation of rice varieties through seed image analysis. Image analysis is a promising technique which can contribute significantly in improving the variety identification since it replaces the laborious manual inspection with cameras and image processing operations. This process uses digital images to measure the size of individual grains and mathematically extract features and shape related information from the images. In the present study, two different types of softwares were used for extraction of features from the images viz. Grain Analysis Software (for size and shape features) and MATLAB software (for textural features). The varieties (28) were grouped on the basis of these features generated from seed images. The study grouped the varieties into six clusters depicting better differentiation among the varieties on the basis of a single plant part i.e. seed through imaging pattern.