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Parametric quality analysis of Indian Ponia Oryza Sativa ssp Indica (rice)

Author(s):

Chetna V. Maheshwari , G.H. Patel College of Engg. and Technology, Vallabh Vidyanagar, Gujarat, India; Kavindra R. Jain, G.H. Patel College of Engg. and Technology, Vallabh Vidyanagar, Gujarat, India

Keywords:

Machine vision; Quality; Image processing; Image analysis; Oryza sativa L. (rice Seeds); ISEF edge detection; Combined measurements.

Abstract

Quality assessment of grains is a very big challenge in the Agricultural industry.The paper presents a solution for parametric quality analysis and grading of Rice. Machine vision provides one alternative for an automated, non-destructive and cost-effective technique. With the help of proposed method for solution of quality assessment via computer vision, image processing there is a high degree of quality achieved as compared to human vision inspection. This paper proposes a method for counting the number of Oryza sativa L (rice seeds) with long seeds as well as small seeds with a high degree of quality and then quantify the same for the rice seeds based on combined measurements .

Other Details

Paper ID: IJSRDV1I2017
Published in: Volume : 1, Issue : 2
Publication Date: 01/05/2013
Page(s): 114-118

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