Study on recognition model for wild mushroom based on support
CSTR:
Author:
Affiliation:

(1. Electromechanical Technology Department of Wulanchabu Vocational College, Jining, Inner Mongolia 012000, China; 2. Engineering College of Shanxi Agricultural University, Taigu, Shanxi 030801, China)

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    A new method for discrimination of wild Mushroom by means of near infrared spectroscopy (NIRS) was established. Visible and near infrared reflectance spectra of 13 different types of mushroom including 3 wild mushrooms were collected with a portable near infrared spectrometer ( ASD Fieldspec3 ). Based on the analysis of spectrum, are the characteristics absorption peaks of polysaccharides, protein, fat of the mushroom are1 483, 1 727, 1 930, 2 100, 2 180, 2 310 nm, which of wild mushroom in are significantly higher than other mushrooms. With these 6 wavelengths of absorbance as input variables to establish recognition model of support vector machine, which takes RBF kernel, the parameters of C = 2 048.0, gamma = 0.031 25, the model for unknown sample recognition correct was 95.3%. Results show that, using the mushroom sample in a few wavelengths of near infrared spectral characteristics of absorption, establish support vector machine recognition model can be identified very well.

    Reference
    Related
    Cited by
Get Citation

刘洋,王涛,左月明.基于支持向量机的野生蘑菇近红外识别模型[J].食品与机械英文版,2016,32(4):92-94,112.

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 01,2016
  • Revised:
  • Adopted:
  • Online: March 09,2023
  • Published:
Article QR Code