Rice Grain Quality Grading Using Digital Image Processing Techniques
Journal Title: IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) - Year 2018, Vol 13, Issue 3
Abstract
Quality of grain is of great importance for human beings as it directly impacts the human health. Hence there is a great need to measure a quality of grain and identifying adulteration or non-quality elements and analyzing the grain sample manually is more time consuming and complicated process, and having more chances of errors with the subjectivity of human perception. In order to achieve uniform standard quality and precision, machine vision based techniques are evolved. Rice quality is nothing but the combination of physical and chemical characteristics. Grain size and shape, chalkiness, whiteness, milling degree, bulk density and moisture content are some physical characteristics. This paper obtained all physical features and graded the rice grains using canny edge detection.
Authors and Affiliations
N. A. Kuchekar, V. V. Yerigeri
Keywords
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- EP ID EP439125
- DOI 10.9790/2834-1303018488.
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