Quality Analysis of Sharbati Tookdi Wheat using Soft Computing Technique |
Author(s): |
| Rachana Parikh , Parul Institute Of Engineering And Technology,Limda-Vadodara; Asst.Prof Rohit srivastava, Parul Institute Of Engineering And Technology |
Keywords: |
| Soft Computing, Image Processing, Feature Extraction |
Abstract |
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In the Food Industry there are various food stuffs in the form of grains having particular importance of wheat. The ability of identification of characteristics is required. With increased expectation for food products with high quality and high standards, the need for accurate, fast and objective quality determination of these food characteristics in food products continue to grow. Basic problem for quality evaluation of wheat industry is that it is done manually by human inspectors. Machine Vision in food has broaden its range of applications from cereals, grains, vegetables to fruits including processed products in which there is a high degree of quality is achieved as compare to human vision inspection. Machine vision provides one alternative for non- destructive, automated and cost-effective technique. |
Other Details |
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Paper ID: IJSRDV2I3266 Published in: Volume : 2, Issue : 3 Publication Date: 01/06/2014 Page(s): 462-465 |
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