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Automated Sorting and Grading of Agricultural Products based on Image Processing

机译:基于图像处理的农产品自动分类及评级

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Demand of good quality fruits is increasing with the rise in population. GDP of the many countries rely upon its export. Major part of GDP of Pakistan depends on its fruit export business. The present quality detection, sortation & dispensing systems have the downside of low yield, time consumption, high cost and complication. The study purpose of machine-controlled fruit sorting using image processing is to create higher quality fruit sorting, quality maintenance, production and to cut back labor concentration. It is a necessity for machine-controlled system that quick and quality feature detection as well as quick dispensing of fruits is carried out. A comprehensive review of current work related to automated sorting and grading of agricultural products is presented in this paper. We also propose a complete end to end system of automated and efficient fruit sorting and grading based on image processing. Effectiveness of the proposed structure is demonstrated by the initial experimental results.
机译:良好质量的水果需求随着人口的增加而增加。许多国家的GDP依赖于其出口。巴基斯坦GDP的主要部分取决于其水果出口业务。目前的质量检测,分拣和分配系统具有低产量,时间消耗,高成本和复杂性的下行。采用图像处理的机器控制水果分类的研究目的是创造更高质量的水果分类,质量维护,生产和削减劳动浓度。需要快速和质量特征检测以及果实快速分配的机器控制系统是必需品。本文提出了对与自动分类和分级有关的当前工作的全面审查。我们还提出了基于图像处理的自动化和高效果实分类和分级的完整结束。初始实验结果证明了所提出的结构的有效性。

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