Abstract Cocoa pods husk (CPH) fermented can be used as an alternative animal feedstuff. Near-infrared (NIR) spectroscopy has been shown in order to determine the nutritional contents of CPH fermented. This study aims assess characteristics NIR raw spectra and pretreated for chemomectric model. The spectrum pretreatments include multiplicative scatter correction (MSC), Savitzky-Golay smoothing ...

A rapid quantification method was developed and validated for simultaneous and nondestructive quantifying the constituent sugar concentrations of intact apples using Fourier transform near-infrared (FT-NIR) spectroscopy in diffuse reflectance mode. Multiplicative scatter correction (MSC), the second derivative of Savitsky-Golay, and mean centering were used as spectral preprocessing options. Ca...

Gholizadeh A., Borůvka L., Saberioon M.M., Kozák J., Vašát R., Němeček K. (2015): Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features. Soil & Water Res., 10: 218–227. The lands near mining industries in the Czech Republic are subjected to soil pollution with heavy metals. Excessive heavy metal concentrations in soils not only dramatica...

The Vis-NIR spectroscopy technology was studied on nondestructive measurement of sugar content in navel orange. Three different spectral ranges of 450-1000nm,1000-1800nm and 450-1800nm were selected, respectively and five different spectral pre-processing methods of Standard Normal Variate (SNV), first derivative (FD), second derivative (SD), multiplicative scatter correction (MSC) and smoothin...

Customers pay significant attention to the organoleptic and physicochemical attributes of their food with improvement living standards. In this work, near infrared hyperspectral technology was used evaluate one-color parameter, a*, firmness, soluble solid content (SSC) Korla fragrant pears. Moreover, iteratively retaining informative variables (IRIV) least square support vector machine (LS-SVM)...

The potential of FT-IR spectra was examined to classify tea samples based on the geographical origins. Principal component analysis (PCA), principal analysis-linear discriminant (PCA-LDA) and partial least square-discriminant (PLS-DA) were investigated in order achieve discrimination samples. Several spectral pre-processing methods, such as mean centering (MC), auto-scaling, multiplicative scat...

ABSTRACT- Firmness is one of the most important quality indicators for apple fruits, which is highly correlated with the storage time. The acoustic impulse response technique is one of the most commonly used nondestructive detection methods for evaluating apple firmness. This paper presents a non-destructive method for classification of Iranian apple (Malus domestica Borkh. cv. Golab) according...

Valine (C5H11NO2) is one of the most important amino acids in oilseed rape and has a close relationship with the influence of herbicide stress during growing stage. The traditional methods for amino acid detection were to use high performance liquid chromatography (HPLC) or amino acid analyzer. These methods were time consuming for preparation and detection, costly, laborious and not convenient...

D eep learning methods are used on spectroscopic data to predict drug content in tablets from near infrared (NIR) spectra. Using convolutional neural networks (CNNs), features are extracted from the spectroscopic data. Extended multiplicative scatter correction (EMSC) and a novel spectral data augmentation method are benchmarked as preprocessing steps. The learned models perform better or on pa...