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The Agricultural industry on the whole is ancient so far. Quality assessment of grains is a very big challenge since time immemorial. The paper presents a solution for quality evaluation and grading of Rice industry using computer vision and image processing. In this paper basic problem of rice industry for quality assessment is defined which is traditionally done manually by human inspector. Machine...
Color based classification is widely used in food industry. Using this paper we propose a non destructive, efficient and novel technique of colorization and then propose an efficient quality analysis for the spices to be exported. Prior to export, Foeniculum vulgare (Fennel) seeds are subjected to inspection for the purpose of quality control and grading. For quality grading, the fennel seeds are...
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