Journal ArticleDOI
Determination of SSC in pears by establishing the multi-cultivar models based on visible-NIR spectroscopy
TLDR
In this paper, the feasibility of using multi-cultivar model for quantitatively determining SSC in three cultivars of pears was observed based on visible-NIR spectroscopy.About:
This article is published in Infrared Physics & Technology.The article was published on 2019-11-01. It has received 36 citations till now.read more
Citations
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Journal ArticleDOI
Self-adaptive models for predicting soluble solid content of blueberries with biological variability by using near-infrared spectroscopy and chemometrics
TL;DR: In this article, a self-adaptive model was established by combining five correcting methods for biological variability elimination, self-selection strategy and model search technology, which can automatically adapt to the change of diverse biological variation compared to others.
Journal ArticleDOI
Nondestructive determination of SSC in Korla fragrant pear using a portable near-infrared spectroscopy system
TL;DR: In this article, a portable non-destructive soluble solids content (SSC) detector for Korla fragrant pears was developed, primarily composed of a handheld near-infrared (NIR) spectrometer in the wavelength of 900-1700nm, a display, a lithium battery, and a Raspberry Pi board.
Journal ArticleDOI
Simultaneous detection of different properties of diesel fuel by near infrared spectroscopy and chemometrics
TL;DR: In this paper, two wavelength selection algorithms, stability competitive adaptive reweighted sampling (SCARS) and correlation coefficient (CC), were proposed to extract feature wavelength points of diesel oil.
Journal ArticleDOI
Development of a Non-Destructive Method for Detection of the Juiciness of Pear via VIS/NIR Spectroscopy Combined with Chemometric Methods.
TL;DR: The results demonstrate that VIS/NIR coupled with LRC-SR method can be a suitable strategy for the quick assessment of juiciness for pears.
References
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Journal ArticleDOI
Standard Normal Variate Transformation and De-trending of Near-Infrared Diffuse Reflectance Spectra
TL;DR: In this article, the standard normal variate (SNV) and de-trending (DT) approaches are applied to individual NIR diffuse reflectance spectra to remove the multiplicative interferences of scatter and particle size.
Journal ArticleDOI
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
Bart Nicolai,Katrien Beullens,Els Bobelyn,Ann Peirs,Wouter Saeys,Karen I. Theron,Jeroen Lammertyn +6 more
TL;DR: An overview of NIR spectroscopy for measuring quality attributes of horticultural produce is given in this article, where the problem of calibration transfer from one spectrophotometer to another is introduced as well as techniques for calibration transfer.
Journal ArticleDOI
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
Mário César Ugulino de Araújo,Teresa Cristina Bezerra Saldanha,Roberto Kawakami Harrop Galvão,Takashi Yoneyama,Henrique C. Chame,Valeria Visani +5 more
TL;DR: In this paper, the authors proposed a variable selection strategy for multivariate calibration using the Successive Projections Algorithm, a forward selection method which uses simple operations in a vector space to minimize variable collinearity.
Journal ArticleDOI
Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration.
TL;DR: This study shows that better prediction is obtained by CARS when compared to full spectrum PLS modeling, Monte Carlo uninformative variable elimination (MC-UVE), moving window partial least squares regression (MWPLSR).
Journal ArticleDOI
Variables selection methods in near-infrared spectroscopy.
TL;DR: This review focuses on the variable selection methods in NIR spectroscopy with some classical approaches and sophisticated methods such as successive projections algorithm (SPA), uninformative variable elimination (UVE) and elaborate search-based strategies.