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Models to improve the non-destructive analysis of persimmon fruit properties by VIS/NIR spectrometry.

Giuseppe AltieriFrancesco GenoveseAntonella TaurielloGiovanni Carlo Di Renzo
Published in: Journal of the science of food and agriculture (2017)
The proposed strategy, for outlier removal and wavelength reduction, allowed the achievement of useful results. Principal component regression fit/prediction capability produced excellent results. Conversely, partial least squares regression showed fair/poor results and the remaining tested models performed badly on real data. © 2017 Society of Chemical Industry.
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