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Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks
2009
Postharvest Biology and Technology
Hyperspectral imaging (400-1000 nm) and artificial neural network (ANN) techniques were investigated for the detection of chilling injury in Red Delicious apples. A hyperspectral imaging system was established to acquire and pre-process apple images, as well as to extract apple spectral properties. Feed-forward backpropagation ANN models were developed to select the optimal wavelength(s), classify the apples, and detect firmness changes due to chilling injury. The five optimal wavelengths
doi:10.1016/j.postharvbio.2008.11.008
fatcat:tt5jtjfsirejnktrd6xufsibni