Application of Spectral Data Fusion Technology for Edible Fungi Quality Evaluation
Spectral data fusion is a new and speedy detection technology which can merge a variety of spectral equipment data to improve the accuracy of experimental results.This technique uses the chemometric method to preprocess output data from two aspects:optimization of spectral data and feature selection,aiming to eliminate the interference of irrelevant variables and to extract the information effectively as well.Adopting the fusion technology of those low-level,intermediate-level and advanced data for conducting final classification or making a prediction model as well as operating the model to compensate for the shortcomings of a single equipment detection should have a broad prospect of application.This paper summarizes the current application of this technology for quality evaluation of edible fungi,such as origin tracking,storage life,species identification,prediction of physicochemical index or content and so on,with a purpose to provide references for future improvement of the quality evaluation system in the edible fungi.
spectral data fusion technologyedible fungiquality evaluation
万方数据
