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SpectraNet-53: A deep residual learning architecture for predicting soluble solids content with VIS-NIR spectroscopy.

Jaime A. MartinsRui GuerraRosa PiresMaria Dulce AntunesThomas PanagopoulosAntónio BrázioAndreia M. AfonsoLeonardo SilvaM. R. LucasAna Margarida Cavaco
Published in: Comput. Electron. Agric. (2022)
Keyphrases
  • learning algorithm
  • supervised learning
  • learning tasks
  • active learning
  • image processing
  • feature extraction
  • prior knowledge
  • test set
  • learning problems
  • factor analysis
  • vis nir