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首页> 外文会议>IEEE International Conference on System, Computation, Automation and Networking >An Improvised Algorithm For Computer Vision Based Cashew Grading System Using Deep CNN
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An Improvised Algorithm For Computer Vision Based Cashew Grading System Using Deep CNN

机译：深层CNN基于计算机视觉腰果分级系统的简易算法

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摘要

Computer vision is becoming popular at the present days in agricultural area with an assortment of technological improvements for grading, sorting, classification. Though there are much technical advancement, cashew grading and sorting are still difficult task in daily market. In this research work we discussed about the computer vision based grading system and also an overview of deep Convolution Neural Network (CNN). The CNN with deep layer has tremendous achievement in many image classification applications. The deep CNN which itself extract the features of the image for classification was the added advantage. In this work the various parameters are considered for optimization of CNN. This work portrays the importance grading cashew nut and also proposed a framework for computer vision based grading system for cashew nut using deep CNN.
机译：计算机愿景在农业领域的目前正在盛开，各种各样的技术改进，分类，分类，分类。虽然有很多技术进步，但腰果分级和排序在日常市场中仍然艰巨。在本研究工作中，我们讨论了基于计算机视觉的分级系统，以及深度卷积神经网络（CNN）的概述。具有深层的CNN在许多图像分类应用中具有巨大成就。本身提取图像特征的深层CNN是附加的。在这项工作中，考虑各种参数用于优化CNN。这项工作描绘了重要性评分腰果，并提出了一种使用深CNN的腰果的计算机视觉基于计算机视觉等级系统的框架。

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