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Research Paper | Computer Science & Engineering | India | Volume 6 Issue 5, May 2017

Raisins Grade Detection Using Image Processing Technology

Vinay Kumar M C ^[2] | Sri B N Veerappa ^[2]

Abstract: A number of methods for quality evaluation and sorting of agricultural products have been developed by different researchers over the past three decades. These methods are based on the detection of various physical properties which correlate well with certain quality factors of the agriculture products. Evaluation of agricultural products is done to understand to the quality of the product in addition to spew low quality of the products and even to expand product profitability. The product which can reviewed consequently includes grains, dry fruits etc. There is a need to build a computerized framework by using the images handling and to make evaluation of agriculture products much easier The frame work first analyses images from the document and after the image are passed for handling. Handling includes numerous paces like image pre-preparing, feature extraction, classification and grading. The frame work contrivance using Matlab. Classification of Raisins is accomplished by their color and size.

Keywords: Automatic Programmed Grading, Raisins, Feature Extraction, Neural Network

Edition: Volume 6 Issue 5, May 2017,

Pages: 1773 - 1776

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