Fungi classification in various growth stages using shortwave infrared (swir) spectroscopy and machine learning

HIGHLIGHTS

  • who: Zhuo Liu and Yanjie Li from the Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China have published the paper: Fungi Classification in Various Growth Stages Using Shortwave Infrared (SWIR) Spectroscopy and Machine Learning, in the Journal: (JOURNAL)
  • what: This study provides a rapid and efficient method for the classification of in different growth stages and the detection of growth stage of various types of and could serve as a tool for study. All of the models show a high classification result with accuracy higher than 0.92. The SWIR technology, in . . .

     

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