食品工业科技2024，Vol.45Issue(7)：286-293,8.DOI:10.13386/j.issn1002-0306.2023060110
基于可见光-近红外高光谱信息与数据融合的木质化鸡胸肉的判别模型构建
Development of Discriminant Models for Wooden Breast Based on Visible and Near Infrared Hyperspectral Information and Their Fused Data
摘要
Abstract
Wooden breast barriers the development of broiler industry,and traditional detection methods are time-consuming and inefficient.To investigate the feasibility of the hyperspectral imaging(HSI)technique for the detection of wooden breasts,four different grades of white feather chicken breast were selected and their HSI information of 400～1000 and 1000～2000 nm was collected.After spectral preprocessing and spectral variable selection,partial least squares discriminant(PLS-DA)models and support vector machine(SVM)models were developed based on full wavelength and characteristic spectral variables,as well as their fused HSI data.The results showed that SVM models showed better results than PLS-DA models to discriminate woody grades of chicken breasts.The overall discrimination rates based on the full HSI bands and selected spectral variables in 1000～2000 nm were higher than those of models in 400～1000 nm.Besides,the discrimination models based on fused HSI data of HSI bands and selected spectral variables provided the best results,with the overall discrimination rate of 96.7%for four different woody grades,and the accuracy of the four grades could reach more than 90%.The research results provided technical support for HSI to achieve rapid and non-destructive detection of wooden chicken breasts.关键词
木质化鸡胸肉/可见-近红外高光谱/短波红外高光谱/光谱数据融合/判别模型Key words
wooden breast/visible-near infrared hyperspectral/short-wave infrared hyperspectral/spectral data fusion/discriminant model分类
轻工纺织引用本文复制引用
张娜,李震,兰维杰,屠康,武杰,王兆山,赵干,潘磊庆..基于可见光-近红外高光谱信息与数据融合的木质化鸡胸肉的判别模型构建[J].食品工业科技,2024,45(7):286-293,8.基金项目
江苏省苏北科技专项(SZ-SQ2021006) （SZ-SQ2021006）
江苏省重点研发计划项目(BE2020693) （BE2020693）
安徽省科技重大专项(201903a06020010) （201903a06020010）
安徽省长三角科技创新联合攻关专项(202004g01020009). （202004g01020009）
