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Prediction performance of portable near infrared reflectance instruments using preprocessed dried, ground forage samples.

Paolo BerzaghiJerry H. CherneyMichael D. Casler
Published in: Comput. Electron. Agric. (2021)
Keyphrases
  • prediction accuracy
  • least squares support vector machine
  • vis nir
  • preprocessing
  • single image
  • prediction model
  • data sets
  • training set
  • reflectance spectra
  • prediction error
  • prediction algorithm
  • lightweight