Development of deep learning method for predicting firmness and soluble solid content of postharvest Korla fragrant pear using Vis/NIR hyperspectral reflectance imaging

Title
Development of deep learning method for predicting firmness and soluble solid content of postharvest Korla fragrant pear using Vis/NIR hyperspectral reflectance imaging
Authors
Keywords
Stacked auto-encoders, Fully-connected neural network, Pixel-level spectral features, Fruit quality, Non-destructive detection
Journal
POSTHARVEST BIOLOGY AND TECHNOLOGY
Volume 141, Issue -, Pages 39-49
Publisher
Elsevier BV
Online
2018-03-19
DOI
10.1016/j.postharvbio.2018.02.013

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