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A Review of the Discriminant Analysis Methods for Food Quality Based on Near-Infrared Spectroscopy and Pattern Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cem.3306openalex-snapshot
Preprocessing methods for near‐infrared spectrum calibration
inferredcites →https://doi.org/10.1002/cem.785openalex-snapshot
Partial least squares for discrimination
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DNA barcodes for the identification of Anoectochilus roxburghii and its adulterants
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Application of Vis/NIR Spectroscopy for Chinese Liquor Discrimination
inferredcites →https://doi.org/10.1007/s12161-016-0772-3openalex-snapshot
SPA Combined with Swarm Intelligence Optimization Algorithms for Wavelength Variable Selection to Rapidly Discriminate the Adulteration of Apple Juice
inferredcites →https://doi.org/10.1007/s12161-017-1078-9openalex-snapshot
Using Intact Nuts and Near Infrared Spectroscopy to Classify Macadamia Cultivars
inferredcites →https://doi.org/10.1007/s12161-019-01609-1openalex-snapshot
Potential of Near-Infrared (NIR) Spectroscopy and Hyperspectral Imaging for Quality and Safety Assessment of Fruits: an Overview
inferredcites →https://doi.org/10.1016/0031-3203(76)90014-5openalex-snapshot
Pattern recognition by means of disjoint principal components models
inferredcites →https://doi.org/10.1016/j.aca.2007.02.033openalex-snapshot
Geographic origins and compositions of virgin olive oils determinated by chemometric analysis of NIR spectra
inferredcites →https://doi.org/10.1016/j.aca.2018.10.055openalex-snapshot
The impact of signal pre-processing on the final interpretation of analytical outcomes – A tutorial
inferredcites →https://doi.org/10.1016/j.chemolab.2007.11.005openalex-snapshot
Successive projections algorithm combined with uninformative variable elimination for spectral variable selection
inferredcites →https://doi.org/10.1016/j.chemolab.2015.03.004openalex-snapshot
NIR spectroscopy and chemometrics for the discrimination of pure, powdered, purple sweet potatoes and their samples adulterated with the white sweet potato flour
inferredcites →https://doi.org/10.1016/j.chemolab.2015.06.012openalex-snapshot
Pattern recognition in chemometrics
inferredcites →https://doi.org/10.1016/j.foodchem.2013.08.064openalex-snapshot
Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.foodchem.2013.08.103openalex-snapshot
Chilean flour and wheat grain: Tracing their origin using near infrared spectroscopy and chemometrics
inferredcites →https://doi.org/10.1016/j.foodchem.2020.126471openalex-snapshot
Authentication of Iberian pork official quality categories using a portable near infrared spectroscopy (NIRS) instrument
inferredcites →https://doi.org/10.1016/j.foodchem.2020.128078openalex-snapshot
Characterization of the dynamic texture perception and the impact factors on the bolus texture changes during oral processing
inferredcites →https://doi.org/10.1016/j.foodcont.2011.10.013openalex-snapshot
Rapid qualitative analysis of phthalates added to food and nutraceutical products by direct analysis in real time/orbitrap mass spectrometry
inferredcites →https://doi.org/10.1016/j.foodres.2010.07.019openalex-snapshot
Varietal discrimination of extra virgin olive oils by near and mid infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.jfoodeng.2018.06.015openalex-snapshot
Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products
inferredcites →https://doi.org/10.1016/j.microc.2014.06.030openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.saa.2019.117619openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.saa.2020.118380openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.talanta.2012.10.044openalex-snapshot
Classification of oat and groat kernels using NIR hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.trac.2009.07.007openalex-snapshot
Review of the most common pre-processing techniques for near-infrared spectra
inferredcites →https://doi.org/10.1016/j.trac.2012.09.006openalex-snapshot
The successive projections algorithm
inferredcites →https://doi.org/10.1016/j.trac.2019.01.018openalex-snapshot
An overview of variable selection methods in multivariate analysis of near-infrared spectra
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A novel NIR spectroscopic method for rapid analyses of lycopene, total acid, sugar, phenols and antioxidant activity in dehydrated tomato samples
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Chapter 7 SIMCA - Classification by Means of Disjoint Cross Validated Principal Components Models
inferredcites →https://doi.org/10.1021/ac960321mopenalex-snapshot
Elimination of Uninformative Variables for Multivariate Calibration
inferredcites →https://doi.org/10.1021/jf034959sopenalex-snapshot
Feasibility Study on the Use of Visible and Near-Infrared Spectroscopy Together with Chemometrics To Discriminate between Commercial White Wines of Different Varietal Origins
inferredcites →https://doi.org/10.1039/c4ay02106aopenalex-snapshot
Identification of green tea varieties and fast quantification of total polyphenols by near-infrared spectroscopy and ultraviolet-visible spectroscopy with chemometric algorithms
inferredcites →https://doi.org/10.1039/c7ay00936dopenalex-snapshot
Use of Fourier transform near-infrared spectroscopy combined with a relevance vector machine to discriminate Tetrastigma hemsleyanum (Sanyeqing) from other related species
inferredcites →https://doi.org/10.1039/c8ay01087kopenalex-snapshot
A novel method for geographical origin identification of Tetrastigma hemsleyanum (Sanyeqing) by near-infrared spectroscopy
inferredcites →https://doi.org/10.1039/c9ay01531kopenalex-snapshot
1D convolutional neural network for the discrimination of aristolochic acids and their analogues based on near-infrared spectroscopy
inferredcites →https://doi.org/10.1080/19440049.2012.658526openalex-snapshot
Qualitative identification of permitted and non-permitted colour additives in food products
inferredcites →https://doi.org/10.1098/rsos.170714openalex-snapshot
Non-destructive geographical traceability of sea cucumber ( Apostichopus japonicus ) using near infrared spectroscopy combined with chemometric methods
inferredcites →https://doi.org/10.1109/34.598228openalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1155/2020/9652470openalex-snapshot
Classification Modeling Method for Near-Infrared Spectroscopy of Tobacco Based on Multimodal Convolution Neural Networks
inferredcites →https://doi.org/10.1186/s13007-019-0476-yopenalex-snapshot
Hyperspectral imaging for seed quality and safety inspection: a review
inferredcites →https://doi.org/10.23919/chicc.2019.8865305openalex-snapshot
A Rapidly Method for the Discrimination of Aristolochic Acid and its Analogues Using SVM and PCA
inferredcites →https://doi.org/10.3390/s17081894openalex-snapshot
Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis
inferredcites →https://doi.org/10.3964/j.issn.1000-0593(2018)05-1514-06openalex-snapshot
Study on Quality Identification of Macadamia nut Based on Convolutional Neural Networks and Spectral Features
inferredcites →https://doi.org/10.3969/j.issn.1002-6819.2007.4.029openalex-snapshot
Application of support vector machine to apple classification with near-infrared spectroscopy
inferredcites →https://doi.org/10.3969/j.issn.1002-6819.2010.12.063openalex-snapshot
Application of visible and near infrared spectroscopy to identification of navel orange varieties using SIMCA and PLS-DA methods
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inferred← citeshttps://doi.org/10.3390/plants14213327openalex-snapshot
Quinolizidine Alkaloid Composition of White Lupin Landraces and Breeding Lines, and Near-Infrared Spectroscopy-Based Discrimination of Low-Alkaloid Material
inferred← citeshttps://doi.org/10.3390/s23010479openalex-snapshot
Application of Near Infrared Spectroscopy to Monitor the Quality Change of Sour Cherry Stored under Modified Atmosphere Conditions
inferred← citeshttps://doi.org/10.3390/s23073686openalex-snapshot
Vis–NIR Spectroscopy Combined with GAN Data Augmentation for Predicting Soil Nutrients in Degraded Alpine Meadows on the Qinghai–Tibet Plateau
inferred← citeshttps://doi.org/10.3390/s24041245openalex-snapshot
Efficient Near-Infrared Spectrum Detection in Nondestructive Wood Testing via Transfer Network Redesign
inferred← citeshttps://doi.org/10.3390/separations8100191openalex-snapshot
Comparison between Mid-Infrared (ATR-FTIR) Spectroscopy and Official Analysis Methods for Determination of the Concentrations of Alcohol, SO2, and Total Acids in Wine
inferred← citeshttps://doi.org/10.3390/spectroscj3020020openalex-snapshot
Enhancing Coffee Quality and Traceability: Chemometric Modeling for Post-Harvest Processing Classification Using Near-Infrared Spectroscopy
inferred← citeshttps://doi.org/10.5772/intechopen.97624openalex-snapshot
Advanced Optical Technologies in Food Quality and Waste Management
inferred← citeshttps://doi.org/10.58414/scientifictemper.2023.14.3.32openalex-snapshot
English language analysis using pattern recognition and machine learning
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