Computer Vision System: A Tool for Evaluating the Quality of Wheat in a Grain Tank

机译：计算机视觉系统：一种评估储粮罐中小麦品质的工具

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The paper describes a technology that allows for automatizing the process of evaluating the grain quality in a grain tank of a combine harvester. Special recognition algorithm analyzes photographic images taken by the camera, and that provides automatic estimates of the total mass fraction of broken grains and the presence of non-grains. The paper also presents the operating details of the tank prototype as well as it defines the accuracy of the algorithms designed.

机译：本文介绍了一种技术，该技术可以使评估联合收割机谷物罐中谷物品质的过程自动化。特殊识别算法分析相机拍摄的照片图像，并提供破碎颗粒的总质量分数和不存在谷物的自动估计。本文还介绍了水箱原型的操作细节，并定义了设计算法的准确性。

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《International conference on machine vision》|2017年|106961Q.1-106961Q.7|共7页
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Uryi Igorevish Minkin; Aleksei Vladimirovich Panchenko; Aleksandr Yurievich Shkanaev; Ivan Andreevich Konovalenko;
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Precision agriculture; broken grain; non-grain; computer vision system; pattern recognition; statistical learning;

机译：精准农业;破碎的谷物非谷物计算机视觉系统;模式识别;统计学习;

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4. Computer Vision System: A Tool for Evaluating the Quality of Wheat in a Grain Tank [C] . Uryi Igorevish Minkin, Aleksei Vladimirovich Panchenko, Aleksandr Yurievich Shkanaev, International Conference on Machine Vision . 2018

机译：计算机视觉系统：一种评估粒箱中小麦品质的工具
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Computer Vision System: A Tool for Evaluating the Quality of Wheat in a Grain Tank

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