Improvement of Soluble Solids Content Prediction in Navel Oranges by Vis/NIR Semi-Transmission Spectra and UVE-GA-LSSVM

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Mathematics, Materials Science, Environmental Science

• Identifiers
  DOI 10.1007/978-3-642-54930-4_37
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Variable selection in visible and near-infrared spectra: Application to on-line determination of sugar content in pears

  2012cited by this paper
• Improvement of Near-Infrared Spectral Calibration Models for Brix Prediction in ‘Gannan’ Navel Oranges by a Portable Near-Infrared Device

  2012cited by this paper
• Measurement of Soluble Solids Content in Melon by Transmittance Spectroscopy

  2012cited by this paper
• Non-destructive prediction of sweetness of intact mango using near infrared spectroscopy

  2012cited by this paper
• Prediction of the optimum harvest time of ‘Scarlet’ apples using DR-UV–Vis and NIR spectroscopy

  2012cited by this paper
• Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges

  2012cited by this paper
• Visible/Near-Infrared Spectra for Linear and Nonlinear Calibrations: A Case to Predict Soluble Solids Contents and pH Value in Peach

  2011cited by this paper
• IMPROVEMENT OF NIR TRANSMISSION MODE FOR INTERNAL QUALITY ASSESSMENT OF FRUIT USING DIFFERENT ORIENTATIONS

  2011cited by this paper
• Non-destructive Estimation of Mandarin Maturity Status Through Portable VIS-NIR Spectrophotometer

  2011cited by this paper
• Nondestructive Detection of Soluble Solids Content on Navel Orange with Vis/NIR Based on Genetic Algorithm

  2010cited by this paper
• Linear and nonlinear multivariate regressions for determination sugar content of intact Gannan navel orange by Vis-NIR diffuse reflectance spectroscopy

  2010cited by this paper
• Nondestructive measurement of soluble solid content of navel orange fruit by visible-NIR spectrometric technique with PLSR and PCA-BPNN.

  2010cited by this paper
• Hybrid variable selection in visible and near-infrared spectral analysis for non-invasive quality determination of grape juice.

  2010cited by this paper
• Effect of fruit moving speed on predicting soluble solids content of ‘Cuiguan’ pears (Pomaceae pyrifolia Nakai cv. Cuiguan) using PLS and LS-SVM regression

  2009cited by this paper
• Prediction of Total Soluble Solid Content in Intact and Cut Melons and Watermelons Using near Infrared Spectroscopy

  2008cited by this paper
• Least Squares Support Vector Machines

  2002cited by this paper
• The Nature of Statistical Learning Theory

  2000cited by this paper
• Application of genetic algorithm–PLS for feature selection in spectral data sets

  2000cited by this paper
• Genetic algorithms applied to feature selection in PLS regression: how and when to use them

  1998cited by this paper
• Elimination of uninformative variables for multivariate calibration.

  1996cited by this paper
• Comparison of Commercial near Infrared Transmittance and Reflectance Instruments for Analysis of Whole Grains and Seeds

  1993cited by this paper
• Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra

  1989cited by this paper
• The Effect of Multiplicative Scatter Correction (MSC) and Linearity Improvement in NIR Spectroscopy

  1988cited by this paper

• A review on hybrid strategy-based wavelength selection methods in analysis of near-infrared spectral data

  2022cites this paper
• Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries through Hyperspectral Imaging: An Extensive Comparison of Linear and Non-Linear Predictive Methods

  2021cites this paper