食品工业科技2017，Vol.38Issue(24)：243-247,5.DOI:10.13386/j.issn1002-0306.2017.24.047
基于可见-近红外光谱及随机森林的鸡蛋产地溯源
Discrimination of origin of eggs using visible-near-infrared spectroscopy and random forest
摘要
Abstract
In order to study the feasibility of rapid and nondestructive identification of the origin of eggs.Visible-near-infrared spectroscopy was used to obtain the spectral transmittance of eggs(500～900 nm),which were the origin of four areas of Hubei.Combining with centering,normalization,standard normal variables,Savitzky-Golay smoothing filter,multiple scatter correction and the direct orthogonal signal correction method were to preprocessing the spectral data,the t-distributed stochastic neighbor embedding(t-SNE) and PCA were to reduce the dimension of the preprocessed data.The processed data was transmitted as the input of extreme learning machine and random forest.The models were established to discriminate the origin of eggs.Compared the two methods,the RF model based on DOSC and t-SNE obtained the best results.The correct rates of calibration and prediction were 100％,98.33％ respectively.The results showed that the visible-near-infrared spectroscopy technology could be competent for the discrimination of the origin of eggs,which would provide a technical support for further research and development of portable devices for the discrimination of the origin of eggs.关键词
可见-近红外光谱/鸡蛋/产地溯源/t分布式随机邻域嵌入/随机森林Key words
visible-near-infrared spectrum/egg/the origin/t-distributed stochastic neighbor embedding/random forest分类
轻工纺织引用本文复制引用
王彬,王巧华,肖壮,马逸霄,李理,杨朋..基于可见-近红外光谱及随机森林的鸡蛋产地溯源[J].食品工业科技,2017,38(24):243-247,5.基金项目
国家自然科学基金(31371771) （31371771）
湖北省科技支撑计划项目(2015BBA172) （2015BBA172）
国家科技支撑计划项目(2015BAD19B05) （2015BAD19B05）
公益性行业(农业)科研专项(201303084). （农业）
