Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models

HIGHLIGHTS

• who: Qingsong Wu and colleagues from the Jiangsu University, China have published the research: Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models, in the Journal: (JOURNAL)
• what: This analysis provides the basis for the following classification model. band, there are obvious differences in spectral reflectance, mainly caused by the organic chemical bonds of peanut seeds (Kimuli et_al, 2018).
• how: The results showed that the stacked ensemble model exhibits superior classification performance. learning model was proposed to classify peanut seed varieties and moldy peanut . . .
  

   

  

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