Models to improve the non-destructive analysis of persimmon fruit properties by VIS/NIR spectrometry.
Giuseppe AltieriFrancesco GenoveseAntonella TaurielloGiovanni Carlo Di RenzoPublished 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.