| 近红外光谱分析技术在鸡肉分类检测中的应用 |
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| 引用本文： | 向灵孜,郭培源.近红外光谱分析技术在鸡肉分类检测中的应用[J].北京工商大学学报(自然科学版),2014,32(6):66-71. |
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| 作者姓名： | 向灵孜 郭培源 |
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| 作者单位： | 北京工商大学计算机与信息工程学院,北京,100048 |
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| 基金项目： | 国家自然科学基金资助项目，北京市自然科学基金资助项目，北京工商大学研究生科研学术创新基金 |
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| 摘 要： | 针对近年来市场上不同品种不同级别的鸡肉混杂、以次充好现象,提出一种可以快速、准确判别土鸡和肉鸡的新方法.采用近红外光谱技术和聚类分析技术建立鸡肉分类判别模型,并讨论了不同预处理方法对模型预测结果的影响.结果显示:近红外光谱技术结合聚类分析技术能够对鸡肉建立一种快速的分类判别模型,该预测判别模型能够快速准确地对土鸡和肉鸡进行判别,其中数据经过二阶导数+矢量归一化后的模型预测判别率达100%.
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| 关 键 词： | 鸡肉鉴别 近红外光谱 聚类分析 |
| 收稿时间： | 2014/10/10 0:00:00 |
Research on Classifying Chicken Based on Near-infrared Spectroscopy |
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| XIANG Lingzi,GUO Peiyuan.Research on Classifying Chicken Based on Near-infrared Spectroscopy[J].Journal of Beijing Technology and Business University:Natural Science Edition,2014,32(6):66-71. |
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| Authors: | XIANG Lingzi GUO Peiyuan |
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| Institution: | School of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;School of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China |
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| Abstract: | One quick and accurate method of distinguishing broiler chicken and native chicken was studied due to the disorder of chicken market. The discriminated model of chicken classification was built based on near infrared (NIR) spectroscopy technology and cluster analysis. The effects of different pretreatment methods on the prediction results were also discussed. The results showed that the discriminated model of chicken classification could be built based on NIR Spectroscopy technology and cluster analysis. The model could be used to distinguishing the broiler chicken and native chicken. Meanwhile, the rate of the data after the second derivative and vector normalization model prediction was 100%. |
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| Keywords: | chicken classification near infrared spectroscopy cluster analysis |
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