论文标题
用于分类芳香大米质量的主要成分分析
Principle Component Analysis for Classification of the Quality of Aromatic Rice
论文作者
论文摘要
这项研究介绍了一种通过利用原理分析（PCA）方法提取的特征来对芳香大米进行质量控制的工具。我们提出的系统（DNOSE V0.2）使用电子鼻子或启用的原理。 ense是一种基于气味分类的探测器仪器，例如人鼻子的功能。必须首先对其进行培训，以识别在分类过程中工作之前的气味。这项研究的目的是建立一个用于质量控制工具的启发系统，尤其是在芳香大米上。该系统的优势易于操作，并且不会损害研究对象。在此实验中，ATMEGA 328和6气体传感器参与电子模块，PCA方法用于分类过程。
This research introduces an instrument for performing quality control on aromatic rice by utilizing feature extraction of Principle Component Analysis (PCA) method. Our proposed system (DNose v0.2) uses the principle of electronic nose or enose. Enose is a detector instrument that work based on classification of the smell, like function of human nose. It has to be trained first for recognizing the smell before work in classification process. The aim of this research is to build an enose system for quality control instrument, especially on aromatic rice. The advantage of this system is easy to operate and not damaging the object of research. In this experiment, ATMega 328 and 6 gas sensors are involved in the electronic module and PCA method is used for classification process.
