Model fusion for prediction of apple firmness using hyperspectral scattering image

68 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Application of Hyperspectral Imaging to Discriminate the Variety of Maize Seeds (2015, methodology): “SPA has been regarded as an effective variable selectionmethod in hyperspectral imaging systems, which can be used to effectively solve the colinearity problem with minimum redundant variable information (Kamruzzaman et al. 2013; Wang et al. 2012).”
Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry (2014, methodology): “In the first attempt in this regard, Wang et al. (2012a) investigated a model fusion method that used UVE algorithms for the prediction of apple firmness in a hyperspectral scattering imaging system.”