Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging

HIGHLIGHTS

  • who: Xunlan Li and colleagues from the Beijing Academy of Agriculture and Forestry Sciences, China Nanjing Agricultural University, China have published the article: Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging, in the Journal: (JOURNAL) of April/23,/2020
  • what: Anthocyanins are the main reasons why mulberry has red and purple (Li et_al, 2020).
  • how: In this study standard normal variate transform (SNV) was used to preprocess the spectral data to eliminate the scattering caused by uneven particle distribution and different particle sizes and the influence of . . .

     

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