相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Detection of impurities in wheat using terahertz spectral imaging and convolutional neural networks
Yin Shen et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
An origin identification model for labeling of shiitake (Lentinula edodes)
Ill-Min Chung et al.
NPJ SCIENCE OF FOOD (2021)
Study on terahertz spectrum analysis and recognition modeling of common agricultural diseases
Bin Li et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2020)
Identification of Soybean Origin by Terahertz Spectroscopy and Chemometrics
Xiao Wei et al.
IEEE ACCESS (2020)
Probabilistic artificial neural network and E-nose based classification of Rhyzopertha dominica infestation in stored rice grains
Shubhangi Srivastava et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
Geographic origin identification and rapid determination of four constituents of Gentiana rigescens by FTIR combined with chemometrics
Yanli Zhao et al.
JOURNAL OF CHEMOMETRICS (2019)
Predicting the physicochemical properties and geographical ORIGIN of lentils using near infrared spectroscopy
I. Revilla et al.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS (2019)
Optimization of soluble solids content prediction models in 'Hami' melons by means of Vis-NIR spectroscopy and chemometric tools
Rong Hu et al.
INFRARED PHYSICS & TECHNOLOGY (2019)
Discrimination of geographical origin of extra virgin olive oils using terahertz spectroscopy combined with chemometrics
Wei Liu et al.
FOOD CHEMISTRY (2018)
Terahertz time-domain attenuated total reflection spectroscopy applied to the rapid discrimination of the botanical origin of honeys
Wen Liu et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2018)
Influence of physical and biological variability and solution methods in fruit and vegetable quality nondestructive inspection by using imaging and near-infrared spectroscopy techniques: A review
Baohua Zhang et al.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION (2018)
Geographical discrimination of extra-virgin olive oils from the Italian coasts by combining stable isotope data and carotenoid content within a multivariate analysis
S. Portarena et al.
FOOD CHEMISTRY (2017)
Kennard-Stone combined with least square support vector machine method for noncontact discriminating human blood species
Linna Zhang et al.
INFRARED PHYSICS & TECHNOLOGY (2017)
Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy
Mingliang Li et al.
APPLIED SCIENCES-BASEL (2017)
Origin identification of dried distillers grains with solubles using attenuated total reflection Fourier transform mid-infrared spectroscopy after in situ oil extraction
Ph. Vermeulen et al.
FOOD CHEMISTRY (2015)
Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
Hongyi Ge et al.
SENSORS (2015)
A rapid and non-invasive method for authenticating the by NIR spectroscopy and chemometrics
Raffaele Vitale et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)
Near infrared reflectance spectroscopy for determination of the geographical origin of wheat
Haiyan Zhao et al.
FOOD CHEMISTRY (2013)
Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy
Aderval S. Luna et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2013)
Application of trace element and stable isotope signatures to determine the provenance of tea (Camellia sinensis) samples
Tamara S. Pilgrim et al.
FOOD CHEMISTRY (2010)
Discriminant partial least squares analysis on compositional data
Michele Gallo
STATISTICAL MODELLING (2010)
Successive projections algorithm combined with uninformative variable elimination for spectral variable selection
Shengfeng Ye et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)
A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra
Wensheng Cai et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)
Choosing multiple parameters for support vector machines
O Chapelle et al.
MACHINE LEARNING (2002)
Bounds on error expectation for support vector machines
V Vapnik et al.
NEURAL COMPUTATION (2000)