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Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Detection and visualization of soybean protein powder in ground beef using visible and near-infrared hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.infrared.2023.104982openalex-snapshot
Identification of geographical origin of semen ziziphi spinosae based on hyperspectral imaging combined with convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.jfca.2023.105890openalex-snapshot
Deep learning based on the Vis-NIR two-dimensional spectroscopy for adulteration identification of beef and mutton
inferred← citeshttps://doi.org/10.1016/j.jfca.2023.105901openalex-snapshot
Detection of adulteration of Alpaca (Vicugna pacos) meat using a portable NIR spectrometer and NIR-hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.jfca.2025.108815openalex-snapshot
Hyperspectral imaging combined with chemometric analysis for non-destructive prediction of mutton quality during refrigerated storage
inferred← citeshttps://doi.org/10.1016/j.jfca.2026.108860openalex-snapshot
Review of advances in hyper-spectral imaging-based non-destructive testing methods in food application
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2014.06.025openalex-snapshot
Hierarchical variable selection for predicting chemical constituents in lamb meats using hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2015.07.008openalex-snapshot
Application of independent components analysis with the JADE algorithm and NIR hyperspectral imaging for revealing food adulteration
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2015.08.023openalex-snapshot
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2015.11.024openalex-snapshot
Lamb muscle discrimination using hyperspectral imaging: Comparison of various machine learning algorithms
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2015.12.004openalex-snapshot
Multipoint NIR spectrometry and collimated light for predicting the composition of meat samples with high standoff distances
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2016.12.014openalex-snapshot
Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat ( Triticum spp.) flour
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2017.07.026openalex-snapshot
Potential of multispectral imaging combined with chemometric methods for rapid detection of sucrose adulteration in tomato paste
inferred← citeshttps://doi.org/10.1016/j.jtcms.2016.12.006openalex-snapshot
Rapid analysis of dyed safflowers by color objectification and pattern recognition methods
inferred← citeshttps://doi.org/10.1016/j.lwt.2015.11.021openalex-snapshot
Hyperspectral imaging for real-time monitoring of water holding capacity in red meat
inferred← citeshttps://doi.org/10.1016/j.lwt.2019.01.056openalex-snapshot
Evaluation of freshness in freshwater fish based on near infrared reflectance spectroscopy and chemometrics
inferred← citeshttps://doi.org/10.1016/j.meatsci.2016.02.004openalex-snapshot
Online monitoring of red meat color using hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.meatsci.2016.04.031openalex-snapshot
Feasibility study on nondestructively sensing meat's freshness using light scattering imaging technique
inferred← citeshttps://doi.org/10.1016/j.meatsci.2016.04.035openalex-snapshot
Identification of meat species by using laser-induced breakdown spectroscopy
inferred← citeshttps://doi.org/10.1016/j.meatsci.2017.09.016openalex-snapshot
Rapid detection of frozen-then-thawed minced beef using multispectral imaging and Fourier transform infrared spectroscopy
inferred← citeshttps://doi.org/10.1016/j.meatsci.2017.11.003openalex-snapshot
Multiplex TaqMan locked nucleic acid real-time PCR for the differential identification of various meat and meat products
inferred← citeshttps://doi.org/10.1016/j.meatsci.2018.11.005openalex-snapshot
Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.meatsci.2019.01.010openalex-snapshot
Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.meatsci.2020.108153openalex-snapshot
Preliminary investigation for the prediction of intramuscular fat content of lamb in-situ using a hand- held NIR spectroscopic device
inferred← citeshttps://doi.org/10.1016/j.microc.2019.03.076openalex-snapshot
Raman spectroscopy and discriminant analysis applied to the detection of frauds in bovine meat by the addition of salts and carrageenan
inferred← citeshttps://doi.org/10.1016/j.nexres.2026.101575openalex-snapshot
Near-infrared spectroscopy in combating seafood fraud: Authentication and adulterant detection
inferred← citeshttps://doi.org/10.1016/j.saa.2019.118005openalex-snapshot
Rapid detection of adulteration of minced beef using Vis/NIR reflectance spectroscopy with multivariate methods
inferred← citeshttps://doi.org/10.1016/j.saa.2020.118834openalex-snapshot
NIR associated to PLS and SVM for fast and non-destructive determination of C, N, P, and K contents in poultry litter
inferred← citeshttps://doi.org/10.1016/j.saa.2020.119307openalex-snapshot
Near-infrared hyperspectral imaging for detection and visualization of offal adulteration in ground pork
inferred← citeshttps://doi.org/10.1016/j.saa.2023.122506openalex-snapshot
Discrimination of lamb (Ovis aries), emu (Dromaius novaehollandiae), camel (Camelus dromedarius) and beef (Bos taurus) binary mixtures using a portable near infrared instrument combined with chemometrics
inferred← citeshttps://doi.org/10.1016/j.talanta.2015.09.018openalex-snapshot
Estimation of chlorophyll-a concentration of different seasons in outdoor ponds using hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.talanta.2024.126199openalex-snapshot
Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI)
inferred← citeshttps://doi.org/10.1016/j.tifs.2015.05.006openalex-snapshot
Selection of feature wavelengths for developing multispectral imaging systems for quality, safety and authenticity of muscle foods-a review
inferred← citeshttps://doi.org/10.1016/j.tifs.2020.06.009openalex-snapshot
Recent developments in vibrational spectroscopic techniques for tea quality and safety analyses
inferred← citeshttps://doi.org/10.1016/j.tifs.2021.02.044openalex-snapshot
Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments
inferred← citeshttps://doi.org/10.1016/j.trac.2020.115877openalex-snapshot
Gas sensors for volatile compounds analysis in muscle foods: A review
inferred← citeshttps://doi.org/10.1016/j.trac.2023.116956openalex-snapshot
Automated characterization and identification of microplastics through spectroscopy and chemical imaging in combination with chemometric: Latest developments and future prospects
inferred← citeshttps://doi.org/10.1016/j.vibspec.2020.103044openalex-snapshot
FT-NIR coupled chemometric methods rapid prediction of K-value in fish
inferred← citeshttps://doi.org/10.1016/j.vibspec.2020.103158openalex-snapshot
Quantification of beef, pork, and chicken in ground meat using a portable NIR spectrometer
inferred← citeshttps://doi.org/10.1039/c4ay01246aopenalex-snapshot
Hyperspectral image-based feature integration for insect-damaged hawthorn detection
inferred← citeshttps://doi.org/10.1039/c4cs00062eopenalex-snapshot
Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials
inferred← citeshttps://doi.org/10.1039/c5ay01617gopenalex-snapshot
Hyperspectral imaging in tandem with multivariate analysis and image processing for non-invasive detection and visualization of pork adulteration in minced beef
inferred← citeshttps://doi.org/10.1039/c6ay03321kopenalex-snapshot
Sensitive variables extraction, non-destructive detection and visualization of total viable count (TVC) and pH in vacuum packaged lamb using hyperspectral imaging
inferred← citeshttps://doi.org/10.1039/c7ay00757dopenalex-snapshot
Laser induced breakdown spectroscopy for quantification of sodium and potassium in minced beef: a potential technique for detecting beef kidney adulteration
inferred← citeshttps://doi.org/10.1039/c8ay00701bopenalex-snapshot
Accuracy and stability improvement in detecting Wuchang rice adulteration by piece-wise multiplicative scatter correction in the hyperspectral imaging system
inferred← citeshttps://doi.org/10.1080/00032719.2014.915409openalex-snapshot
Characterization of Peanut Oil by Infrared Spectroscopy with an Improved Gaussian Mixture Model
inferred← citeshttps://doi.org/10.1080/07373937.2020.1741006openalex-snapshot
Comparison of moisture uniformity between microwave-vacuum and hot-air dried ginger slices using hyperspectral information combined with semivariogram
inferred← citeshttps://doi.org/10.1080/07373937.2021.1950171openalex-snapshot
Development of a general model for monitoring moisture distribution of four vegetables undergoing microwave-vacuum drying by hyperspectral imaging
inferred← citeshttps://doi.org/10.1080/08905436.2020.1743305openalex-snapshot
Quantitative species determination based on real time PCR–Can the results be expressed as weight/weight equivalents?
inferred← citeshttps://doi.org/10.1080/10408398.2013.871692openalex-snapshot
Advances in Feature Selection Methods for Hyperspectral Image Processing in Food Industry Applications: A Review
inferred← citeshttps://doi.org/10.1080/10408398.2025.2487134openalex-snapshot
Hyperspectral imaging technology for nondestructive identification of quality deterioration in fruits and vegetables: a review
inferred← citeshttps://doi.org/10.1080/10942912.2017.1326058openalex-snapshot
Quantitative determination of rice starch based on hyperspectral imaging technology
inferred← citeshttps://doi.org/10.1088/1755-1315/333/1/012016openalex-snapshot
Trends in chemometrics and meat products
inferred← citeshttps://doi.org/10.1108/nfs-08-2017-0164openalex-snapshot
Prediction of adulteration of game meat using FTIR and chemometrics
inferred← citeshttps://doi.org/10.1109/access.2020.2974623openalex-snapshot
A Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR Spectra
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2015.7337961openalex-snapshot
An adaptive neuro-fuzzy model for the detection of meat spoilage using multispectral images
inferred← citeshttps://doi.org/10.1109/icamimia60881.2023.10427687openalex-snapshot
Minced Meat Classification using Digital Imaging System Coupled with Machine Learning
inferred← citeshttps://doi.org/10.1109/icemis.2016.7745327openalex-snapshot
Building a portable device based on DSP for meat discrimination
inferred← citeshttps://doi.org/10.1109/itnt57377.2023.10139262openalex-snapshot
Evaluation of Neural Network for Automated Classification of Plant Component on Histological Section
inferred← citeshttps://doi.org/10.1109/jsen.2014.2364854openalex-snapshot
Road Surface Status Classification Using Spectral Analysis of NIR Camera Images
inferred← citeshttps://doi.org/10.1111/1541-4337.12110openalex-snapshot
Recent Advances in De‐Noising Methods and Their Applications in Hyperspectral Image Processing for the Food Industry
inferred← citeshttps://doi.org/10.1111/1541-4337.12191openalex-snapshot
Regression Algorithms in Hyperspectral Data Analysis for Meat Quality Detection and Evaluation
inferred← citeshttps://doi.org/10.1111/1541-4337.12295openalex-snapshot
Developments and Challenges in Online NIR Spectroscopy for Meat Processing
inferred← citeshttps://doi.org/10.1111/1541-4337.12781openalex-snapshot
Emerging nondestructive approaches for meat quality and safety evaluation—A review
inferred← citeshttps://doi.org/10.1111/ijfs.13350openalex-snapshot
How meaty? Detection and quantification of adulterants, foreign proteins and food additives in meat products
inferred← citeshttps://doi.org/10.1111/ijfs.13977openalex-snapshot
Discrimination of pork/chicken adulteration in minced mutton by electronic taste system
inferred← citeshttps://doi.org/10.1111/jfpe.12297openalex-snapshot
A Method for Rapid Identification of Rice Origin by Hyperspectral Imaging Technology
inferred← citeshttps://doi.org/10.1111/jfpe.12446openalex-snapshot
Quantitative Determination of Rice Moisture Based on Hyperspectral Imaging Technology and BCC‐LS‐SVR Algorithm
inferred← citeshttps://doi.org/10.1111/jfpe.13265openalex-snapshot
Detection of adulterants and authenticity discrimination for coarse grain flours using NIR hyperspectral imaging
inferred← citeshttps://doi.org/10.1111/jfpe.13419openalex-snapshot
Development of a fluorescent m icrowave‐assisted synthesized carbon dots/Cu2+ probe for rapid detection of tea polyphenols
inferred← citeshttps://doi.org/10.1111/jfpp.15241openalex-snapshot
Classification of tea varieties based on fluorescence hyperspectral image technology and ABC‐SVM algorithm
inferred← citeshttps://doi.org/10.1117/12.2223296openalex-snapshot
Rapid discrimination of main red meat species based on near-infrared hyperspectral imaging technology
inferred← citeshttps://doi.org/10.1117/12.2223938openalex-snapshot
Food inspection using hyperspectral imaging and SVDD
inferred← citeshttps://doi.org/10.1155/2018/1809297openalex-snapshot
Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data
inferred← citeshttps://doi.org/10.1155/2018/3487985openalex-snapshot
Integration of Artificial Neural Network Modeling and Hyperspectral Data Preprocessing for Discrimination of Colla Corii Asini Adulteration
inferred← citeshttps://doi.org/10.1155/2018/7450695openalex-snapshot
Application of VIS/NIR Spectroscopy and SDAE-NN Algorithm for Predicting the Cold Storage Time of Salmon
inferred← citeshttps://doi.org/10.1155/2019/4342509openalex-snapshot
Combination of an E-Nose and an E-Tongue for Adulteration Detection of Minced Mutton Mixed with Pork
inferred← citeshttps://doi.org/10.1177/0967033516678801openalex-snapshot
Classification of freshwater fish species by linear discriminant analysis based on near infrared reflectance spectroscopy
inferred← citeshttps://doi.org/10.1186/s43014-024-00305-wopenalex-snapshot
Meat quality, safety, dietetics, environmental impact, and alternatives now and ten years ago: a critical review and perspective
inferred← citeshttps://doi.org/10.1201/9781315114859-6openalex-snapshot
Spectroscopic Methods for Fresh Food Authentication: An Overview
inferred← citeshttps://doi.org/10.12733/jics20104830openalex-snapshot
A Novel Local Area Spectral Feature Extraction Method for Copper Flotation Froth Image
inferred← citeshttps://doi.org/10.1364/oe.26.010119openalex-snapshot
Accuracy and stability improvement for meat species identification using multiplicative scatter correction and laser-induced breakdown spectroscopy
inferred← citeshttps://doi.org/10.1364/optcon.484551openalex-snapshot
Visible and short-wave infrared fiber-based snapshot imaging spectrometer with a custom high-throughput relay system
inferred← citeshttps://doi.org/10.14267/phd.2014009openalex-snapshot
Módszerfejlesztés Fourier-transzformációs közeli infravörös technika (FT-NIR) alkalmazási körének kibővítésére élelmiszeripari mintákon
inferred← citeshttps://doi.org/10.18006/2016.4(4).448.461openalex-snapshot
Hyperspectral imaging (hsi): applications in animal and dairy sector
inferred← citeshttps://doi.org/10.18178/ijfe.5.1.58-62openalex-snapshot
Using 2D-COS Based on ATR-MIR to Identify Mixed Surimi
inferred← citeshttps://doi.org/10.19113/sdufenbed.442199openalex-snapshot
Bazı Ticari Kitler Kullanılarak Et Ürünlerindeki Tavuk ve Sığır Eti Miktarının Belirlenmesi
inferred← citeshttps://doi.org/10.20868/upm.thesis.44931openalex-snapshot
Hyperspectral image applied to determine quality parameters in leafy vegetables
inferred← citeshttps://doi.org/10.2139/ssrn.4876806openalex-snapshot
Integration of Independent Composition Analysis, Chemometrics and Multivariate Statistical for Predicting Meat Adulteration
inferred← citeshttps://doi.org/10.22175/mmb.12946openalex-snapshot
Fraud Detection in Meat Using Hyperspectral Imaging
inferred← citeshttps://doi.org/10.24297/jaa.v12i.9063openalex-snapshot
Nondestructive Testing of Lettuce Nitrogen Stress Based on Multidimensional Image
inferred← citeshttps://doi.org/10.24925/turjaf.v5i5.488-492.1060openalex-snapshot
Identification of Meat Species by Using Molecular and Spectroscopic Techniques
inferred← citeshttps://doi.org/10.2971/jeos.2013.13078openalex-snapshot
Label-free discrimination of cells undergoing apoptosis by hyperspectral confocual reflectance imaging
inferred← citeshttps://doi.org/10.2991/978-94-6463-122-7_37openalex-snapshot
Application of Visible and Shortwave Near Infrared Spectroscopy Combined with PCA-LDA and PLS-DA to Distinguish Sirloin and Shank Beef
inferred← citeshttps://doi.org/10.3329/jbau.v12i1.21411openalex-snapshot
Hyperspectral imaging technique for offal quantification in minced meat
inferred← citeshttps://doi.org/10.3389/fnut.2022.979205openalex-snapshot
Spectroscopic techniques for authentication of animal origin foods
inferred← citeshttps://doi.org/10.3390/app12146986openalex-snapshot
Meat 4.0: Principles and Applications of Industry 4.0 Technologies in the Meat Industry
inferred← citeshttps://doi.org/10.3390/app6120450openalex-snapshot
Wavelength Selection for Detection of Slight Bruises on Pears Based on Hyperspectral Imaging
inferred← citeshttps://doi.org/10.3390/app9183926openalex-snapshot
Feasibility of the Detection of Carrageenan Adulteration in Chicken Meat Using Visible/Near-Infrared (Vis/NIR) Hyperspectral Imaging
inferred← citeshttps://doi.org/10.3390/books978-3-03943-710-8openalex-snapshot
Advances of Spectrometric Techniques in Food Analysis and Food Authentication Implemented with Chemometrics
inferred← citeshttps://doi.org/10.3390/chemosensors12030035openalex-snapshot
Research Progress of Electronic Nose and Near-Infrared Spectroscopy in Meat Adulteration Detection
inferred← citeshttps://doi.org/10.3390/foods10020448openalex-snapshot
Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud
inferred← citeshttps://doi.org/10.3390/foods10092127openalex-snapshot
Chemometrics in Tandem with Hyperspectral Imaging for Detecting Authentication of Raw and Cooked Mutton Rolls
inferred← citeshttps://doi.org/10.3390/foods12030470openalex-snapshot
SVM Regression to Assess Meat Characteristics of Bísaro Pig Loins Using NIRS Methodology
inferred← citeshttps://doi.org/10.3390/foods13213443openalex-snapshot
Detection of Illicit Conservation Treatments in Sea Bass (Dicentrarchus labrax): Application and Data Integration of NIR Spectrometers
inferred← citeshttps://doi.org/10.3390/foods13223598openalex-snapshot
Proto-DS: A Self-Supervised Learning-Based Nondestructive Testing Approach for Food Adulteration with Imbalanced Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/foods13233745openalex-snapshot
Classification of Chicken Carcass Breast Blood-Related Defects Using Hyperspectral Imaging Combined with Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/foods15101631openalex-snapshot
Advances in Hyperspectral Imaging for Nondestructive Food Quality and Safety Detection
inferred← citeshttps://doi.org/10.3390/foods9020154openalex-snapshot
Rapid Identification and Visualization of Jowl Meat Adulteration in Pork Using Hyperspectral Imaging
inferred← citeshttps://doi.org/10.3390/foods9081074openalex-snapshot
Non-Destructive Imaging and Spectroscopic Techniques for Assessment of Carcass and Meat Quality in Sheep and Goats: A Review
inferred← citeshttps://doi.org/10.3390/microorganisms10112251openalex-snapshot
Assessment of the Microbial Spoilage and Quality of Marinated Chicken Souvlaki through Spectroscopic and Biomimetic Sensors and Data Fusion
inferred← citeshttps://doi.org/10.3390/microorganisms8040552openalex-snapshot
Implementation of Multispectral Imaging (MSI) for Microbiological Quality Assessment of Poultry Products
inferred← citeshttps://doi.org/10.3390/molecules191118980openalex-snapshot
Classification of Frankfurters by FT-Raman Spectroscopy and Chemometric Methods
inferred← citeshttps://doi.org/10.3390/opt6010001openalex-snapshot
Shortwave near Infrared–Hyperspectral Imaging Spectra to Detect Pork Adulteration in Beef Using Partial Least Square Regression Coupled with VIP Wavelength Selections Method
inferred← citeshttps://doi.org/10.3390/photochem1020008openalex-snapshot
A Review of Recent Studies Employing Hyperspectral Imaging for the Determination of Food Adulteration
inferred← citeshttps://doi.org/10.3390/pr11041140openalex-snapshot
Portable NIR Spectroscopic Application for Coffee Integrity and Detection of Adulteration with Coffee Husk
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