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https://doi.org/10.2139/ssrn.4669236

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Raw material quality assessment approaches comparison in pectin production
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Fast method for GA‐PLS with simultaneous feature selection and identification of optimal preprocessing technique for datasets with many observations
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Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristics
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The AI-Based Data Science Workflow
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NIR Data Exploration and Regression by Chemometrics—A Primer
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Experimentation on Spectra Data Regression Using Dense Multilayer Neural Networks with Common Pre-processing
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Spatial CART classification trees
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An intelligent decision support system for the detection of meat spoilage using multispectral images
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Hyperspectral imaging for a rapid detection and visualization of duck meat adulteration in beef
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Metabolomics and Proteomics Approach Using LC-Orbitrap HRMS for the Detection of Pork in Tuna Meat for Halal Authentication
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Standard Normal Variate, Multiplicative Signal Correction and Extended Multiplicative Signal Correction Preprocessing in Biospectroscopy
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An embedded system based on DSP platform and PCA-SVM algorithms for rapid beef meat freshness prediction and identification
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Comparison of different measurement techniques and variable selection methods for FT-MIR in wine analysis
inferredcites →https://doi.org/10.1016/j.foodchem.2017.09.145openalex-extracted
Handheld NIR device: A non-targeted approach to assess authenticity of fish fillets and patties
inferredcites →https://doi.org/10.1016/j.foodcont.2016.10.023openalex-extracted
Process analytical technologies for fat and moisture determination in ground beef - a comparison of guided microwave spectroscopy and near infrared hyperspectral imaging
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Potential of multispectral imaging technology for rapid and non-destructive determination of the microbiological quality of beef filets during aerobic storage
inferredcites →https://doi.org/10.1016/j.infrared.2017.05.005openalex-extracted
Combination of spectral and textural information of hyperspectral imaging for the prediction of the moisture content and storage time of cooked beef
inferredcites →https://doi.org/10.1016/j.infrared.2022.104401openalex-extracted
Detection and visualization of soybean protein powder in ground beef using visible and near-infrared hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.jfca.2022.105048openalex-extracted
Application of visible-near-infrared hyperspectral imaging technology coupled with wavelength selection algorithm for rapid determination of moisture content of soybean seeds
inferredcites →https://doi.org/10.1016/j.jfoodeng.2015.01.006openalex-extracted
Non-destructively sensing pork’s freshness indicator using near infrared multispectral imaging technique
inferredcites →https://doi.org/10.1016/j.jfoodeng.2015.08.023openalex-extracted
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning
inferredcites →https://doi.org/10.1016/j.lwt.2021.112760openalex-extracted
Authentication of cinnamon spice samples using FT-IR spectroscopy and chemometric classification
inferredcites →https://doi.org/10.1016/j.meatsci.2017.09.016openalex-extracted
Rapid detection of frozen-then-thawed minced beef using multispectral imaging and Fourier transform infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.meatsci.2018.11.005openalex-extracted
Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.meatsci.2020.108342openalex-extracted
Authentication of barley-finished beef using visible and near infrared spectroscopy (Vis-NIRS) and different discrimination approaches
inferredcites →https://doi.org/10.1016/j.microc.2022.107378openalex-extracted
Rapid and non-destructive spatially offset Raman spectroscopic analysis of packaged margarines and fat-spread products
inferredcites →https://doi.org/10.1016/j.saa.2020.119307openalex-extracted
Near-infrared hyperspectral imaging for detection and visualization of offal adulteration in ground pork
inferredcites →https://doi.org/10.1016/j.saa.2022.121689openalex-extracted
Feasibility of identifying the authenticity of fresh and cooked mutton kebabs using visible and near-infrared hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.talanta.2012.10.020openalex-extracted
Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis
inferredcites →https://doi.org/10.1016/j.trac.2009.07.007openalex-extracted
Review of the most common pre-processing techniques for near-infrared spectra
inferredcites →https://doi.org/10.1016/j.trac.2022.116804openalex-extracted
Deep learning for near-infrared spectral data modelling: Hypes and benefits
inferredcites →https://doi.org/10.1021/ac0600196openalex-extracted
Automatic Selection of Optimal Savitzky−Golay Smoothing
inferredcites →https://doi.org/10.1021/ac502449wopenalex-extracted
Rapid Detection of Peptide Markers for Authentication Purposes in Raw and Cooked Meat Using Ambient Liquid Extraction Surface Analysis Mass Spectrometry
inferredcites →https://doi.org/10.1021/acs.jafc.2c04500openalex-extracted
CRISPR/Cas Precisely Regulated DNA-Templated Silver Nanocluster Fluorescence Sensor for Meat Adulteration Detection
inferredcites →https://doi.org/10.1038/s41538-017-0007-zopenalex-extracted
Four years post-horsegate: an update of measures and actions put in place following the horsemeat incident of 2013
inferredcites →https://doi.org/10.1039/c3ay42270dopenalex-extracted
Pre-processing in vibrational spectroscopy – when, why and how
inferredcites →https://doi.org/10.1080/10942912.2021.1987457openalex-extracted
Hyperspectral image classification of wolfberry with different geographical origins based on three-dimensional convolutional neural network
inferredcites →https://doi.org/10.1088/2399-6528/abb322openalex-extracted
Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis
inferredcites →https://doi.org/10.1109/case49997.2022.9926712openalex-extracted
Noise Optimization in Artificial Neural Networks
inferredcites →https://doi.org/10.1126/science.288.5469.1248openalex-extracted
A Mutation in PRKAG3 Associated with Excess Glycogen Content in Pig Skeletal Muscle
inferredcites →https://doi.org/10.1155/2016/3182746openalex-extracted
How Muscle Structure and Composition Influence Meat and Flesh Quality
inferredcites →https://doi.org/10.11613/bm.2012.031openalex-extracted
Interrater reliability: the kappa statistic
inferredcites →https://doi.org/10.1177/0003702817709299openalex-extracted
A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products
inferredcites →https://doi.org/10.1186/s13007-023-01057-3openalex-extracted
Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network
inferredcites →https://doi.org/10.1201/9781420018318openalex-extracted
Practical Guide to Interpretive Near-Infrared Spectroscopy
inferredcites →https://doi.org/10.1255/jnirs.214openalex-extracted
Effect of Sample Heterogeneity on near Infrared Meat Analysis: The Use of the RMS Statistic
inferredcites →https://doi.org/10.1366/12-06723openalex-extracted
Optimizing Savitzky–Golay Parameters for Improving Spectral Resolution and Quantification in Infrared Spectroscopy
inferredcites →https://doi.org/10.3390/foods11152278openalex-extracted
Evaluation of Mutton Adulteration under the Effect of Mutton Flavour Essence Using Hyperspectral Imaging Combined with Machine Learning and Sparrow Search Algorithm
inferredcites →https://doi.org/10.3390/molecules22010168openalex-extracted
A Review of Mid-Infrared and Near-Infrared Imaging: Principles, Concepts and Applications in Plant Tissue Analysis
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