霉变稻谷脂肪酸含量的光谱检测模型构建与优化分析

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期刊论文

论文标题(英文)：

Optimization analysis and establishment of spectra detection model of fatty acid contents for mould paddies

作者：

文韬;洪添胜;李立君;郭鑫;赵兵;...

通讯作者：

Hong, Tiansheng(tshong@scau.edu.cn)

作者机构：

[李立君; 赵兵; 文韬; 张仟仟; 刘付] School of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, China

[郭鑫] School of Science, Central South University of Forestry and Technology, Changsha, China

[洪添胜] Division of Citrus Machinery, China Agriculture Research System, Guangzhou, China

[洪添胜; 文韬] Key Laboratory of Key Technology for South Agricultural Machinery and Equipment, Ministry of Education, Engineering College of South China agricultural University, Guangzhou, China

通讯机构：

Key Laboratory of Key Technology for South Agricultural Machinery and Equipment, Ministry of Education, Engineering College of South China agricultural University, Guangzhou, China

语种：

中文

关键词：

模型;光谱检测;农业;霉变稻谷;脂肪酸;可见/近红外光谱;特征波段;样本集划分

关键词(英文)：

Agriculture;Algorithms;Data compression;Digital storage;Fatty acids;Food storage;Forecasting;Least squares approximations;Linear regression;Models;Optimization;Reflection;Sampling;Spectrometry;X-Y model;Gradient distributions;Mean square root error;Multiple linear regression method;Optimization analysis;Partial least squares regressions (PLSR);Prediction performance;Sample sets;Successive projection algorithms;Molds

期刊：

农业工程学报

ISSN：

1002-6819

年：

2016

卷：

期：

页码：

193-199

DOI：

10.11975/j.issn.1002-6819.2016.01.027

基金类别：

国家自然科学基金（31401281）湖南省自然科学基金（14JJ3115）湖南省大学生研究性学习和创新性实验计划项目（湘教通[2014]248号）湖南省高校科技创新团队支持计划（2014207）

机构署名：

本校为第一机构

院系归属：

机电工程学院

理学院

摘要：

为了实现霉变稻谷脂肪酸含量无损、快速检测,该文研究应用可见/近红外光谱技术检测霉变稻谷的脂肪酸含量。考虑到直接选用霉变稻谷可见/近红外光谱数据构建脂肪酸含量预测模型存在建模费时、预测失准等问题,研究提出了霉变稻谷脂肪酸含量的可见/近红外优化校正模型。研究中通过光谱-理化值共生距离(sample set partitioning based on joint x-y distance, SPXY)算法结合偏最小二乘法初步分析了不同校正集样本预测霉变稻谷脂肪酸含量的差异;利用连续投影算法(SPA)提取了反映霉变稻谷脂肪酸含量变化的特征波段;采用偏最小二乘法(partial least square, PLS)和多元线性回归法(multivariable linear...

摘要(英文)：

Fatty acids were stable metabolites and easily accumulated in paddies mould process which could better express mould extend of paddies. To achieve the non-destructive and rapid detection in fatty acid contents (FAC) for mould paddies, the detection of FAC for mould paddies was studied using the Visible/Near-infrared reflectance(Vis/NIR) spectral technology. The variety C liang-you 34156 late rice was used as paddy samples, which was obtained from Hunan Agricultural University. The mould paddy cultivating test and FAC determination experiments w...

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