Spectroscopy and Chemometrics News Weekly #25, 2020

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Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 24, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 24, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

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Near-Infrared Spectroscopy (NIRS)

“Near-Infrared (NIR) Spectroscopy to Differentiate Longissimus thoracis et lumborum (LTL) Muscles of Game Species” LINK

“Estimation of Harumanis (Mangifera indica L.) Sweetness using Near-Infrared (NIR) Spectroscopy” LINK

“Handheld Near-Infrared Spectrometers: Reality and Empty Promises” miniaturization NIRS FTNIR MEMS MOEMS LVFs LINK

BESTCentreLTU research hot off the press: | In collaboration with Assoc. Prof. Kellie Tuck from , we’ve developed new near-infrared emissive electrochemiluminophores for sensing in NIR transparent biological media. LINK

“Near-Infrared Emitter for Bioanalytical Applications” NIR ECL electrochemiluminescence LINK

“Fault detection with moving window PCA using NIRS spectra for the monitoring of anaerobic digestion process” LINK

“New applications of visnir spectroscopy for the prediction of soil properties” LINK

“Simultaneous determination of quality parameters in yerba mate (Ilex paraguariensis) samples by application of near-infrared (NIR) spectroscopy and partial least …” LINK

“Control of ascorbic acid in fortified powdered soft drinks using near-infrared spectroscopy (NIRS) and multivariate analysis.” LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

“Non-Invasive Blood Glucose Monitoring using Near-Infrared Spectroscopy based on Internet of Things using Machine Learning” LINK

“Investigating the Quality of Antimalarial Generic Medicines Using Portable Near-Infrared Spectroscopy” LINK

“Rapid quantitative detection of mineral oil contamination in vegetable oil by near-infrared spectroscopy” LINK

“THE DETERMINATION OF FATTY ACIDS IN CHEESES OF VARIABLE COMPOSITION (COW, EWE’S, AND GOAT) BY MEANS OF NEAR INFRARED SPECTROSCOPY” LINK

“Detection of melamine and sucrose as adulterants in milk powder using near-infrared spectroscopy with DD-SIMCA as one-class classifier and MCR-ALS as a means to provide pure profiles of milk and of both adulterants with forensic evidence” LINK

“Protein, weight, and oil prediction by singleseed nearinfrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum)” LINK

“Modeling bending strength of oil-heat-treated wood by near-infrared spectroscopy” LINK

“ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor” LINK

“Should the Past Define the Future of Interpretation of Infrared and Raman Spectra?” LINK

“Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating.” LINK

“Continuously measurement of the dry matter content using near-infrared spectroscopy” LINK

“Rapid identification of Lilium species and polysaccharide contents based on near infrared spectroscopy and weighted partial least square method.” LINK

“A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy.” LINK




Hyperspectral Imaging (HSI)

“Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging” LINK

“Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms” LINK

“A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves” LINK

“Deep learning applied to hyperspectral endoscopy for online spectral classification” DOI:10.1038/s41598-020-60574-6 LINK

“Detection of fish fillet substitution and mislabeling using multimode hyperspectral imaging techniques” LINK




Chemometrics and Machine Learning

“Molecules, Vol. 25, Pages 1453: Characterization, Quantification and Quality Assessment of Avocado (Persea americana Mill.) Oils” LINK

“Comprehensive Chemometrics – Chemical and Biochemical Data Analysis Reference Work • 2nd Edition • 2020” | books Chemometrics DataAnalysis Chemical Biochemical LINK

“Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics” LINK




Research on Spectroscopy

“Automatisierte und digitale Dokumentation der Applikation organischer Düngemittel” LINK

“Plenary Lecture Methods and Tools for Sensors Information Processing” LINK




Equipment for Spectroscopy

Using NIR scanner to assess grass in sward for composition prior to baling and wrapping for EU LIFE Farm4More project. Thanks to Dinamica Generale for providing the equipment LINK

“Determination of soluble solids content in Prunus avium by Vis/NIR equipment using linear and non-linear regression methods” LINK

“Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning …” LINK




Agriculture NIR-Spectroscopy Usage

“Hyperspectral imaging using multivariate analysis for simulation and prediction of agricultural crops in Ningxia, China” LINK

“Placing Soil Information in the Hands of Farmers” LINK

“Robustness of visible/near and midinfrared spectroscopic models to changes in the quantity and quality of crop residues in soil” LINK

“Complex Food Recognition using Hyper-Spectral Imagery” LINK




Horticulture NIR-Spectroscopy Applications

” The Effect of Spent Mushroom Substrate and Cow Slurry on Sugar Content and Digestibility of Alfalfa Grass Mixtures” LINK




Laboratory and NIR-Spectroscopy

“The influence analysis of reflectance anisotropy of canopy on the prediction accuracy of Cu stress based on laboratory multi-directional measurement” LINK




Other

LINK



Spectroscopy and Chemometrics News Weekly #11, 2020

CalibrationModel.com

How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? | Chemometrics Analytische Chemie LINK

Simplify the process of training machine learning models for NIR spectra data with applied near-infrared spectroscopy (NIRS) knowledge. quantitative multivariate prediction equations LINK

Spectroscopy and Chemometrics News Weekly 10, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 10, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 10, 2020 | NIRS NIR Spettroscopia analisi chimica Spettrale Spettrometro IoT Sensore Attrezzatura analitica nearinfrared foodscience foodprocessing foodsafety foodproduction farming agriculture LINK




Near Infrared

“Klasifikasi Kopi Green Beans Arabika Sumatera Utara Menggunakan FT-Nirs dan Analisis Diskriminan” LINK

“APLIKASI NEAR INFRARED SPECTROSCOPY (NIRS) UNTUK MENGETAHUI KANDUNGAN HARA NITROGEN FOSFOR DAN KALIUM PADA INSTALASI …” LINK

” Identification of common wood species in northeast China using Vis/NIR spectroscopy” LINK

“Efficient Super Broadband NIR Ca2LuZr2Al3O12:Cr3+,Yb3+ Garnet Phosphor for pc‐LED Light Source toward NIR Spectroscopy Applications” LINK

“Performance comparison of sampling designs for quality and safety control of raw materials in bulk: a simulation study based on NIR spectral data and geostatistical …” LINK

“Prediction of drug dissolution from Toremifene 80 mg tablets using NIR spectroscopy” LINK

“Nearinfrared spectroscopy (NIRS) for taxonomic entomology: A brief review” LINK

“Determination of tomato quality attributes using portable NIR-sensors” LINK

“Exploring the potential of NIR hyperspectral imaging for automated quantification of rind amount in grated Parmigiano Reggiano cheese” LINK

“Rapid detection of adulteration of minced beef using Vis/NIR reflectance spectroscopy with multivariate methods.” LINK

“Evaluation of quinclorac toxicity and alleviation by salicylic acid in rice seedlings using ground-based visible/near-infrared hyperspectral imaging.” LINK

“An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy” LINK

“Identification of waxy cassava genotypes using fourier‐transform near‐infrared spectroscopy” LINK

“Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy” LINK

“Near-infrared-based Identification of Walnut Oil Authenticity” LINK

“Detection of flaxseed oil multiple adulteration by near-infrared spectroscopy and nonlinear one class partial least squares discriminant analysis” LINK

“Application research of sensor output digitization for compact near infrared IOT node” LINK

“Refining Transfer Set in Calibration Transfer of Near Infrared Spectra by Backward Refinement of Samples” LINK

“Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection” LINK

“Optimizing Rice Near-Infrared Models Using Fractional Order SavitzkyGolay Derivation (FOSGD) Combined with Competitive Adaptive Reweighted Sampling (CARS)” LINK

“Fourier transform near infrared spectroscopy as a tool to discriminate olive wastes: The case of monocultivar pomaces.” LINK

“Evaluation of quinclorac toxicity and alleviation by salicylic acid in rice seedlings using ground-based visible/near-infrared hyperspectral imaging” LINK

“Near Infrared Spectrometric Investigations on the behaviour of Lactate.” LINK

“Nondestructive rapid and quantitative analysis for the curing process of silicone resin by nearinfrared spectra” LINK

“An introduction to handheld infrared and Raman instrumentation” LINK




Hyperspectral

“Hyperspectral anomaly detection by local joint subspace process and support vector machine” LINK

“Assessment of matcha sensory quality using hyperspectral microscope imaging technology” LINK




Chemometrics

“Application of Infrared Spectroscopy and Chemometrics to the Cocoa Industry for Fast Composition Analysis and Fraud Detection” LINK

“Calibration models for the nutritional quality of fresh pastures by nearinfrared reflectance spectroscopy” LINK

“Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content” LINK

“Application of hyperspectral imaging combined with chemometrics for the non-destructive evaluation of the quality of fruit in postharvest” LINK




Equipment

“Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning Machine Algorithm” LINK

“MEMS technology for fabricating plasmonic near-infrared spectrometers” LINK

“Sensors, Vol. 20, Pages 545: Development of Low-Cost Portable Spectrometers for Detection of Wood Defects” LINK




Environment

“Classification of Granite Soils and Prediction of Soil Water Content Using Hyperspectral Visible and Near-Infrared Imaging” LINK

“Determining mandatory nutritional parameters for Iberian meat products using a new method based on near infra-red reflectance spectroscopy and data mining” LINK




Agriculture

“Instrumental Procedures for the Evaluation of Juiciness in Peach and Nectarine Cultivars for Fresh Consumption” LINK

“The creation of the FT-NIR calibration for the determination of the amount of corn grain in concentrated feed” LINK

In this 9th clip from his presentation at the 2019 IFS Agronomic Conference, Wouter Saeys explains which type of NIR is best for measuring the nutrient content of manure, and why. Info on this paper is here; it’s free for Society Members to download: LINK

“Remote Sensing, Vol. 12, Pages 928: Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data” LINK

“Development of a Method To Prioritize Protein-Ligand Pairs on Beads Using Protein Conjugated to a Near-IR Dye.” LINK

“Agronomy, Vol. 10, Pages 148: Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes” LINK

“Investigation of a Medical Plant for Hepatic Diseases with Secoiridoids Using HPLC and FT-IR Spectroscopy for a Case of Gentiana rigescens” LINK




Food & Feed

“Comparison of sensory evaluation techniques for Hungarian wines” LINK




Laboratory

“Roadmap of cocoa quality and authenticity control in the industry: A review of conventional and alternative methods” LINK





Spectroscopy and Chemometrics News Weekly #10, 2020

CalibrationModel.com

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Spectroscopy and Chemometrics News Weekly 9, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Analytical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors materialsensing QA QC Quality foodtechnologies LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 9, 2020 | NIRS NIR Spektroskopie MachineLearning AI FoodScience Spektrometer IoT Sensor Nahinfrarot Analytik foodtech Analysentechnik Analysemethode Nahinfrarotspektroskopie FutureLab LINK

Spettroscopia e Chemiometria Weekly News 9, 2020 | NIRS NIR Spettroscopia MachineLearning analisi Spettrale Spettrometro Chem IoT Sensore analitica Lab Laboratorio Labtechnician analisi prova qualità QualityControl meatindustry LINK




Near Infrared

“Differentiation of Muscle Abnormalities in Turkey Breast Meat in Palestinian Market by Using VIS-NIR Spectroscopy” LINK

“On-line prediction of hazardous fungal contamination in stored maize by integrating Vis/NIR spectroscopy and computer vision.” LINK

“Prediction of starch reserves in intact and ground grapevine cane wood tissues using near infrared reflectance spectroscopy (NIRS)” LINK

“Nitrate (NO3-) prediction in soil analysis using near-infrared (NIR) spectroscopy” LINK

“Can Near Infrared Spectroscopy (NIRS) Quantify The Quality of Fishmeal Circulating in Jember, Indonesia?” LINK

“Nondestructive VIS/NIR spectroscopy estimation of intravitelline vitamin E and cholesterol concentration in hen shell eggs” LINK

“NIR spectroscopy-multivariate analysis for rapid authentication, detection and quantification of common plant adulterants in saffron (Crocus sativus L.) stigmas” LINK

“Rapid discrimination of coal geographical origin via near-infrared spectroscopy combined with machine learning algorithms” LINK

“Applied Sciences, Vol. 10, Pages 616: The Brewing Industry and the Opportunities for Real-Time Quality Analysis Using Infrared Spectroscopy” LINK

“A Global Model for the Determination of Prohibited Addition in Pesticide Formulations by Near Infrared Spectroscopy” LINK

” Visible and near-infrared spectroscopy in Poland: from the beginning to the Polish Soil Spectral Library” LINK

“Visible and Near-Infrared Spectroscopic Discriminant Analysis Applied to Brand Identification of Wine” LINK

“Interaction between tau and water during the induced aggregation revealed by near-infrared spectroscopy” LINK




Raman

Using Raman Spectroscopy to Evaluate Packaging for Frozen Hamburgers – – LINK




Hyperspectral

“Hyperspectral imaging for Ink Identification in Handwritten Documents” LINK

“Effective hyperspectral band selection and multispectral sensing based data reduction and applications in food analysis” LINK

“Foods, Vol. 9, Pages 94: Rapid Screen of the Color and Water Content of Fresh-Cut Potato Tuber Slices Using Hyperspectral Imaging Coupled with Multivariate Analysis” LINK

“Detection of Microplastics Using Machine Learning” hyperspectral LINK

“Non-destructive determination of volatile oil and moisture content and discrimination of geographical origins of Zanthoxylum bungeanum Maxim. by hyperspectral …” LINK

“The hype in spectral imaging” Hyperspectral HSI LINK

“Multi-sensor integration approach based on hyperspectral imaging and electronic nose for quantitation of fat and peroxide value of pork meat” LINK




Chemometrics

“Investigating aquaphotomics for temperature-independent prediction of soluble solids content of pure apple juice” LINK

“Accuracy of Estimating Soil Properties with Mid‐Infrared Spectroscopy: Implications of Different Chemometric Approaches and Software Packages Related to Calibration Sample Size” LINK

“A correlation-analysis-based wavelength selection method for calibration transfer” LINK

“Vibrational spectroscopy and chemometrics tools for authenticity and improvement the safety control in goat milk” LINK

“Prediction and Analysis of Bamboo heating value Near Infrared Spectroscopy Based on Competitive Adaptive Weighted Sampling Algorithm” LINK




Environment

“Influence of two‐phase behavior of ethylene ionomers on diffusion of water” LINK




Agriculture

“Detection of Diseases on Wheat Crops by Hyperspectral Data” LINK

“Comparative data on effects of alkaline pretreatments and enzymatic hydrolysis on bioemulsifier production from sugarcane straw by Cutaneotrichosporon mucoides.” LINK

“Prediction of soil macronutrient (nitrate and phosphorus) using near-infrared (NIR) spectroscopy and machine learning” LINK

“最小二乘支持向量机的核桃露饮品中脂肪成分的定量分析” “Determination of Fat in Walnut Beverage Based on Least Squares Support Vector Machine” LINK

“Scaling up of NIRS facility in Mali for analysis of biomass quality for GLDC crops” LINK

“Low cost hyper-spectral imaging system using linear variable bandpass filter for agriculture applications” LINK




Other

“Avaliação estatística das variáveis relacionadas a qualidade de farelo de soja para frangos de corte” LINK

“Diets selected and growth of steers grazing buffel grass (Cenchus ciliarus cv Gayndah)-Centro (Centrosema brasilianum cv Oolloo) pastures in a seasonally dry …” LINK

“Identification of Flax Oil by Linear Multivariate Spectral Analys” LINK

“Spectroscopic Investigations of Solutions of Lithium bis(fluorosulfonyl)imide (LiFSI) in Valeronitrile” LINK

“Quantitative analysis of the interaction of ammonia with 1-(2-hydroxyethyl)-3-methylimidazolium tetrafluoroborate ionic liquid. Understanding the volumetric and …” LINK





Spectroscopy and Chemometrics News Weekly #8, 2020

CalibrationModel.com

Knowledge-Based Variable Selection and Model Selection for near infrared spectroscopy NIRS LINK

Stop wasting too much time for NIRS Chemometrics Method development | foodanalyticaltechnologies analytic qualitycontrol foodindustry beverageindustry materialsensing LINK

Spectroscopy and Chemometrics News Weekly 7, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 7, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 7, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK




Near Infrared Spectroscopy (NIRS)

“Determination of Glucose by NIR Spectroscopy Under Magnetic Field” LINK

“Sensors, Vol. 20, Pages 230: The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods when using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods” LINK

“Quantum mechanical modeling of NIR spectra of thymol” LINK

“Using a handheld near-infrared spectroscopy (NIRS) scanner to predict meat quality” LINK

“NIR spectroscopy in simulation–a new way for augmenting near-infrared phytoanalysis” LINK

“Using visible-near-infrared spectroscopy to classify lichens at a Neotropical Dry Forest” LINK

“Near infrared spectroscopy as a rapid method for detecting paprika powder adulteration with corn flour” LINK

“Application of deep learning and near infrared spectroscopy in cereal analysis” LINK

“Using near infrared spectroscopy to determine the scots pine place of growth” LINK

“Chagas disease vectors identification using visible and near-infrared spectroscopy” LINK

“Ensemble of extreme learning machines for multivariate calibration of near-infrared spectroscopy” LINK

“Quantification of Silymarin in Silybum marianum with near-infrared spectroscopy: a comparison of benchtop vs. handheld devices” LINK

“N-way partial least squares combined with new self-construction strategy—A promising approach of using near infrared spectral data for quantitative determination of …” LINK

“Identification of rice flour types with near-infrared spectroscopy associated with PLS-DA and SVM methods” LINK

” Multivariate Classification of Prunus Dulcis Varieties using Leaves of Nursery Plants and Near Infrared Spectroscopy” LINK




Hyperspectral

“Frost damage to maize in northeast India: assessment and estimated loss of yield by hyperspectral proximal remote sensing” LINK

“Identification of authenticity, quality and origin of saffron using hyperspectral imaging and multivariate spectral analysis” LINK




Chemometrics

“Early detection of chilling injury in green bell peppers by hyperspectral imaging and chemometrics” LINK

“Evaluating photosynthetic pigment contents of maize using UVE-PLS based on continuous wavelet transform” LINK

“Near-infrared spectroscopy coupled with chemometrics algorithms for the quantitative determination of the germinability of Clostridium perfringens in four different …” LINK

“Analysis of residual moisture in a freeze-dried sample drug using a multivariate fitting regression model” LINK

“Spectroscopy based novel spectral indices, PCA-and PLSR-coupled machine learning models for salinity stress phenotyping of rice” LINK

“Standardisation of near infrared hyperspectral imaging for quantification and classification of DON contaminated wheat samples” LINK

“Vibrational spectroscopy and chemometric data analysis: the principle components of rapid quality control of herbal medicines” LINK

“A Model for Yellow Tea Polyphenols Content Estimation Based on Multi-Feature Fusion” LINK




Process Control

“Review of near-infrared spectroscopy as a process analytical technology for real-time product monitoring in dairy processing” LINK




Environment

“POTENTIAL OF SENSOR-BASED SORTING IN ENHANCED LANDFILL MINING” LINK

“Characterization of the salt marsh soils and visible-near-infrared spectroscopy along a chronosequence of Spartina alterniflora invasion in a coastal wetland of …” LINK




Agriculture

“Remote Sensing, Vol. 12, Pages 126: Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy” LINK

“Novel implementation of laser ablation tomography as an alternative technique to assess grain quality and internal insect development in stored products” LINK

“Comparative Study of Two Different Strategies for Determination of Soluble Solids Content of Apples From Multiple Geographical Regions by Using FT-NIR Spectroscopy” LINK




Food & Feed

“Adulteration of Olive Oil” LINK




Laboratory

“Laboratory Raman and VNIR spectroscopic studies of jarosite and other secondary mineral mixtures relevant to Mars” LINK




Other

“Combining analytical tools to identify adulteration: some practical examples” LINK

“… questioned whether the growth and sustainability of AI technology will lead to the need for two copyright systems — one to address human creation and one to address machine creation.” LINK





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Spectroscopy and Chemometrics News Weekly #3, 2020

Near Infrared (NIR) Spectroscopy

“Fourier-transform near infrared spectroscopy (FT-NIRS) rapidly and non-destructively predicts daily age and growth in otoliths of juvenile red snapper Lutjanus …” LINK

“Desarrollo de Modelos NIRS de Predicción para el Análisis de la Finura de Fibras Textiles de Vicuña y Llama” LINK

“fNIRS-GANs: Data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopy.” LINK

” Simulated NIR spectra as sensitive markers of the structure and interactions in nucleobases” LINK

“Penentuan Parameter Mutu Buah Jeruk Siam Garut Secara Nondestruktif Menggunakan Spektroskopi NIR” LINK

“Rapid non-destructive moisture content monitoring using a handheld portable Vis–NIR spectrophotometer during solar drying of mangoes (Mangifera indica L.)” LINK

“VIS-NIR wave spectrometric features of acorns (Quercus robur L.) for machine grading” LINK

“Portable NIR Spectroscopy: Affordable Technology for Developing Countries” LINK

“NIR spectroscopy used for non-destructive evaluation of the chemical composition of the investigated papers in addition to typically used standard methods.” LINK

“Feasibility study on prediction of gasoline octane number using NIR spectroscopy combined with manifold learning and neural network” LINK

“Authentication of Tokaj Wine (Hungaricum) with the Electronic Tongue and Near Infrared Spectroscopy” LINK

“Environmental advantages of visible and near infrared spectroscopy for the prediction of intact olive ripeness” LINK

“Rapid screening and quantitative analysis of adulterant Lonicerae Flos in Lonicerae Japonicae Flos by Fourier-transform near infrared spectroscopy” LINK

“Rapid analysis of soluble solid content in navel orange based on visible-near infrared spectroscopy combined with a swarm intelligence optimization method” LINK

“Establishment and relevant analysis of plant’s spectral reflectivity database in visible and near-infrared bands” LINK




Hyperspectral Imaging

“Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines” LINK

“Deep learning classifiers for hyperspectral imaging: A review” LINK

“Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images” LINK

“Avoiding Overfitting When Applying Spectral-Spatial Deep Learning Methods on Hyperspectral Images with Limited Labels” LINK

“Estimation Model of Winter Wheat Yield Based on Uav Hyperspectral Data” LINK




Chemometrics and Machine Learning

“Validation of near infrared spectroscopy as an age-prediction method for plastics” LINK

Whoever leads in ArtificialIntelligence in 2030 will rule the world until 2100 | fintech AI MachineLearning DeepLearning robotics LINK

“Chemical Composition of Hexene-Based Linear Low-Density Polyethylene by Infrared Spectroscopy and Chemometrics” LINK

“Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing” LINK

“DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT” LINK

“NIR reflectance spectroscopy and SIMCA for classification of crops flour” LINK




NIR Equipment

“Prediction of meat quality traits in the abattoir using portable and hand-held near-infrared spectrometers” LINK

“A Plug-and-play Hyperspectral Imaging Sensor Using Low-cost Equipment” LINK




NIR in Environment

“The use of hyperspectral remote sensing to detect PCB contaminated soils in the 0.35 to 12 micron spectral range” LINK




NIR in Agriculture

“Fast measurement of phosphates and ammonium in fermentation-like media: a feasibility study” LINK

“Detection of early decay on citrus using hyperspectral transmittance imaging technology coupled with principal component analysis and improved watershed …” LINK

“Determination of Nutritive Value of Some Feedstuffs Used in Poultry Nutrition by Near Infrared Reflectance Spectroscopy (NIRS) and Chemical Methods” LINK

“근적외선분광법을 이용한 사료용 벼의 사료가치 평가” “Evaluation of Feed Values for Whole Crop Rice Using Near Infrared Reflectance Spectroscopy” LINK

“Classification of crop flours based on protein contents using near infra-red spectroscopy and principle component analysis” LINK

“In-field detection of Alternaria solani in potato crops using hyperspectral imaging” LINK




NIR in Laboratory

“Use of Remote sensing technology to assess grapevine quality” LINK


CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 2, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical AI Application Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 2, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 2, 2020 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodel LINK


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This week’s NIR news Weekly is sponsored by Your-Company-Name-Here – NIR-spectrometers. Check out their product page … link

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Spectroscopy and Chemometrics News Weekly #2, 2020

CalibrationModel.com

Spectroscopy and Chemometrics News Weekly 1, 2020 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Quality Testing LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 1, 2020 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 1, 2020 | NIRS NIR Spettroscopia MachineLearning AI analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio Application analisi qualità QC Analysesystem prediction LINK

Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know! NIRSpectroscopy NIRS Sensors NearInfrared Analyzers DigitalTransformation QualityControl foodtech machinelearning AI datascience LINK

SAFE COST IN MAINTAINING NIR-SPECTROSCOPY METHODS | NIRSpectroscopy NIRS Spectroscopy DigitalTransformation Analysis Lab Laboratory Application Quantitative Analysis Methods Measurements Analytical Parameters Spectrometer Quality Accuracy LINK

Do you develop NIR / NIRS calibrations by yourself? Can you sell it? No? Buy it! Digitalization LabManager LabAutomation CEO Digitalisation Spectroscopy AutoML LowCost lowerCost SaveMoney SaveTime Efficiency Effectivity LINK

This week’s NIR news Weekly is sponsored by Your-Company-Name-Here – NIR-spectrometers. Check out their product page … link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Near Infrared

“Study of chemical compound spatial distribution in biodegradable active films using NIR hyperspectral imaging and multivariate curve resolution” LINK

“Advances in Near Infrared Spectroscopy and Related Computational Methods” MDPI Books – Pages: 496 OpenAccess | NIRSpectroscopy NIRS NIR LINK

” Ampliación de una librería espectral de mezclas unifeed analizadas en un instrumento NIRS de laboratorio” LINK

“Applied Sciences, Vol. 9, Pages 5058: Single-Kernel FT-NIR Spectroscopy for Detecting Maturity of Cucumber Seeds Using a Multiclass Hierarchical Classification Strategy” LINK

” Visible-near Infrared (VIS-NIR) Spectroscopy as a Rapid Measurement Tool to Assess the Effect of Tillage on Oil Contaminated Sites” LINK

“Non-invasive measurements of ‘Yunhe’pears by vis-NIRS technology coupled with deviation fusion modeling approach” LINK

“Standard Analytical Methods, Sensory Evaluation, NIRS and Electronic Tongue for Sensing Taste Attributes of Different Melon Varieties.” LINK

“Control of ascorbic acid in fortified powdered soft drinks using near-infrared spectroscopy (NIRS) and multivariate analysis” LINK

“Prediction Model of the Key Components for Lodging Resistance in Rapeseed Stalk Using Near-Infrared Reflectance Spectroscopy (NIRS)” LINK

“NIR spectroscopic determination of urine components in spot urine: preliminary investigation towards optical point-of-care test.” LINK

“O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression.” LINK

“Authentication of Tokaj Wine (Hungaricum) with the Electronic Tongue and Near Infrared Spectroscopy.” LINK

“Potential of the near-infrared spectroscopy for the discrimination of wood and charcoal of four native Myrtaceae species in southern Brazil” LINK

“Estimating the Carbon Content of Coastal Wetland Vegetation With Visible and Near-Infrared Reflectance Spectroscopy” LINK

“Species-and Moisture-based Sorting of Green Timber Mix with Near Infrared Spectroscopy” LINK

“Potential of Near-Infrared Spectroscopy to Evaluate the Cleaning Performance of Dishwashing Processes” LINK

” Near Infrared Spectroscopic Study of Trioctahedral Chlorites and Its Remote Sensing Application” LINK

” Interactive comment on “Estimation of effective calibration sample size using visible near infrared spectroscopy: deep learning vs machine learning”” LINK




Hyperspectral

“Remote Sensing, Vol. 11, Pages 2731: Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis” LINK




Spectral Imaging

“Multispectral cross-polarization reflectance measurements suggest high contrast of demineralization on tooth surfaces at wavelengths beyond 1300 nm due to reduced light scattering in sound enamel.” LINK




Chemometrics

“Visible-Near Infrared Spectroscopy and Chemometric Methods for Wood Density Prediction and Origin/Species Identification” Forests LINK

“Comparison of two augmented classical least squares algorithms and PLS for determining nifuroxazide and its genotoxic impurities using UV spectroscopy” LINK

“Why should the pharmaceutical industry claim for the implementation of second-order chemometric models-A critical review.” LINK

“Use of near infrared spectroscopy coupled with chemometrics for fast detection of irradiated dry fermented sausages” LINK

” Hyperspectral analysis for a robust assessment of soil properties using adapted PLSR method” LINK




Equipment

“Toward complete oral cavity cancer resection using a handheld diffuse reflectance spectroscopy probe.” LINK




Process Control

“Combining convolutional neural networks and inline nearinfrared spectroscopy for realtime monitoring of the chromatographic elution process in commercial production of notoginseng total saponins” LINK




Agriculture

“Fast measurement of phosphates and ammonium in fermentation-like media: a feasibility study.” LINK

“Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits” LINK

“Rapid visible-near infrared (Vis-NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour.” LINK

“Molecules, Vol. 24, Pages 4310: Chemometric Characterization of Strawberries and Blueberries according to Their Phenolic Profile: Combined Effect of Cultivar and Cultivation System” LINK

“Evaluating Soybean Meal Quality Using Near-Infrared Reflectance Spectroscopy” LINK

“Changes in Human Milk Fatty Acid Composition During Lactation: The Ulm SPATZ Health Study” Nutrients LINK




Food & Feed

“Photothermal treatment of port-wine stains using erythrocyte-derived particles doped with indocyanine green: a theoretical study.” LINK




Other

” Breeding and Testing Corn for Reduced Aflatoxin Contamination and Increased Drought Tolerance for Texas” LINK





Spectroscopy and Chemometrics News Weekly #48, 2019

CalibrationModel.com

“Cost comparison of DataScience, MachineLearning and Chemometrics for NIR – Spectroscopy” | NIRS analytical laboratory Lab method development SmartSensor spectrometer LabTech LabManager Analytical_Chemistry QC_QA FoodLab FoodQuality LINK

Aautomated machine learning | enables this Lab workflow with ease ��Sample -> ��measured with a NIRS spectrometer -> ��spectral data -> ⚖️ predicted with a NIRPredictor & CalibrationModel -> % quantitative results -> �� quality decision -> �� LINK

Increase Your Profit with optimized NIR Accuracy QAQC Food Feed Lab Milling Mills corn grain soybean LINK

Spectroscopy and Chemometrics News Weekly 47, 2019 | NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 47, 2019 | NIRS NIR Spektroskopie MachineLearning Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 47, 2019 | NIRS NIR Spettroscopia Chemiometria ML analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

This week’s NIR news Weekly is sponsored by Your-Company-Name-Here – NIR-spectrometers. Check out their product page … link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Chemometrics

“Analytical and sensory data correlation to understand consumers’ grape preference” LINK

“Detection and classification of Lepeophterius salmonis (Krøyer, 1837) using Underwater Hyperspectral Imaging” LINK

“Detection and differentiation between potato (Solanum tuberosum) diseases using calibration models trained with non-imaging spectrometry data” LINK

“Model Selection in Regression – A chronological review of the major model selection methods” LINK

“Chemometric Authentication of Brazilian Coffees Based on Chemical Profiling” LINK




Near Infrared

” DEVELOPMENT AND OPTIMIZATION OF AN AUTOMATIC SYSTEM TO DETERMINE THE MOISTURE CONTENT IN SINGLE-KERNEL ROUGH RICE USING VISIBLE/NIR SPECTROSCOPY” LINK

“A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali” LINK

“Measurement of quality parameters of sugar beet juices using near-infrared spectroscopy and chemometrics” LINK

“Classification of oolong tea varieties based on hyperspectral imaging technology and BOSS-LightGBM model” LINK

“Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy” LINK

” Predicting plant available phosphorus using infrared spectroscopy with consideration for future mobile sensing applications in precision farming” LINK

“Authentication of liquid egg composition using ATR-FTIR and NIR spectroscopy in combination with PCA.” LINK

“Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices” LINK

“Online Prediction of Physico-Chemical Quality Attributes of Beef Using VisibleNear-Infrared Spectroscopy and Chemometrics” foods LINK

“Bamboo activated carbon adsorption and near infrared spectroscopy prediction of heavy metal in soil” LINK






Infrared

“Antioxidant Activity of Blueberry (Vaccinium spp.) Cultivar Leaves: Differences Across the Vegetative Stage and the Application of Near Infrared Spectroscopy” LINK

“Near-infrared spectroscopy as a rapid tool for water content analysis in the partial oxidation of ethanol” LINK




Raman

“Use of terahertz-Raman spectroscopy to determine solubility of the crystalline active pharmaceutical ingredient in polymeric matrices during hot melt extrusion” LINK




Hyperspectral

“Soil fertility status assessment using hyperspectral remote sensing” LINK

” Prediction of Salt in Soil by PLS Regression Using Hyperspectral Laboratory Data” LINK

“Detection of moisture content in peanut kernels using hyperspectral imaging technology coupled with chemometrics” LINK




Agriculture

“Development of a predictive tool for rapid assessment of soil total nitrogen in wheat-corn double cropping system with hyperspectral data” LINK




Food & Feed

“Multi-target prediction of wheat flour quality parameters with near infrared spectroscopy” LINK




Laboratory

“Cost & Price comparison of DataScience, MachineLearning and Chemometrics for NIR – Spectroscopy” NIRS analytical laboratory Lab method development SmartSensor spectrometer LabTech LabManager Analytical_Chemistry QC_QA FoodLab FoodQuality LINK

“Spatial Distortion Assessments of a Low-Cost Laboratory and Field Hyperspectral Imaging System” LINK




Other

” Gravimetric and Spectrophotometric Determination of Surface Wax Content in Maize Kernels” LINK

“Detection of Multi-frozen and Single-frozen Fish Using Optical Spectroscopy” LINK





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Spectroscopy and Chemometrics News Weekly #45, 2019

CalibrationModel.com

Aautomated machine learning enables this NIRS Lab workflow with ease : Sample -> measured with a NIRS spectrometer -> spectral data -> ⚖️ predicted with a NIRPredictor & CalibrationModel -> % quantitative results -> quality decision -> LINK

Increase Your Profit with optimized NIR Accuracy QAQC Food Feed Lab Milling Mills corn grain soybean LINK

NIR User? Get better results faster | Food Science QC Lab Laboratory Manager chemist LabWork Chemie analytik LINK

Reduce Cost of Ownership of NIRS Analycer by using CalibrationModel Services nirs Chemistry LINK

Spectroscopy and Chemometrics News Weekly 44, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 44, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer NIRSensor Nahinfrarot NIRAnalytik NIRdevice LabEquipment Nahinfrarotspektroskopie Laboranalyse NIRlabor LINK

Spettroscopia e Chemiometria Weekly News 44, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

This week’s NIR news Weekly is sponsored by Your-Company-Name-Here – cost-effective-NIR-instruments. Check out their spectrometer product page … link

Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us.




Chemometrics

“MicroNIR/Chemometrics: a new analytical platform for fast and accurate detection of ?9-Tetrahydrocannabinol (THC) in oral fluids” LINK

“Supervised classification methods in hyperspectral imaging-recent advances” LINK

MachineLearning Summarized in One Picture by | Read more here: ML Classification Regression Clustering NeuralNetworks … LINK




Near Infrared

“Sorting post-consumer polymer on conveyor belt using NIR spectroscopy” LINK

” 近红外光谱技术在骨科疾病研究中的应用 Application of the NIR Spectroscopy in the Researches of Orthopedics Diseases” LINK

” Case Study of Ft-Nir Spectroscopy Age Estimation for Bering Sea Pacific Cod Stocks” LINK

“Proceedings of the research workshop on the rapid estimation of fish age using Fourier Transform Near Infrared Spectroscopy (FT-NIRS)” LINK




Infrared

“Identification of patients and plaques vulnerable to future coronary events with near-infrared spectroscopy intravascular ultrasound imaging: a prospective, cohort study” LINK

“Efficacy of PCSK-9 Inhibitors on Coronary Lipid Rich Plaque Assessed by Serial Near-Infrared Spectroscopy” LINK

“Analysis Technology of Residual Solvent of Printed Inkjet Ink with Near-Infrared Spectroscopy” LINK




Raman

In two weeks’ time I will be visiting the UK to talk about Raman spectroscopy on Mars! If you’re at Imperial, UCL or Oxford, come and learn about how we’re going to use Raman to search for biosignatures on another world! LINK




Hyperspectral

“Hyperspectral imaging as a part of pharmaceutical product design” LINK

“Analysis of chromophores in stained-glass windows using Visible Hyperspectral Imaging in-situ” LINK

” REAL-TIME CORRECTIONS FOR A LOW-COST HYPERSPECTRAL INSTRUMENT” LINK

“Hyperspectral imaging in medical applications” LINK

“An overview of regression methods in hyperspectral and multispectral imaging” LINK




Equipment

Good reminder that it’s easy to over-index on the “startup-industrial complex” and ignore the radical transformation software enables in old-line industries like, say, meat-packing equipment manufacturing. LINK




Environment

“Spectral Analysis of Estuarine Water for Characterisation of Inherent Optical Properties and Phytoplankton Concentration” LINK




Agriculture

“Qualitative and quantitative diagnosis of nitrogen nutrition of tea plants under field condition using hyperspectral imaging coupled with chemometrics” LINK

“Quantitative Analysis of Soil Total Nitrogen Using Hyperspectral Imaging Technology with Extreme Learning Machine” Sensors LINK

“Detection of adulterants and authenticity discrimination for coarse grain flours using NIR hyperspectral imaging” LINK

“Food and feed production” LINK

“Hyperspectral imaging in crop fields: precision agriculture” LINK

“Classification of saline water for irrigated agriculture using near infrared spectroscopy coupled with pattern recognition techniques” LINK




Other

” Classical and correlative analytical methods for origin identification of Hungarian honeys” LINK

” OpenAI Plays Hide and Seek…and Breaks The Game! ” LINK

“The problem isn’t data protection, it’s data collection.” – NSA Whistleblower has his day on GDPR at WebSummit LINK




Spectroscopy and Chemometrics News Weekly #38, 2019

CalibrationModel.com

New: free NIR-Predictor V2.4 supports file formats out of the box from: @TIDLP @ViaviSolutions @OceanOpticsEMEA @my_scio @SiWareSystems @SpectralEngines @trinamiX_GmbH @StellarNet – Mobile NIRS portable NIR2019 NIR2020 Analyzers LINK

Spectroscopy and Chemometrics News Weekly 37, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 37, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 37, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK

This week’s NIR news Weekly is sponsored by your-Company-Name-here – Best-NIR-instruments. Check out their product page … link




Chemometrics

“Potential biomonitoring of atmospheric carbon dioxide in Coffea arabica leaves using near-infrared spectroscopy and partial least squares discriminant analysis” LINK

“Quantitative Real-Time Release Testing of Rhubarb based on Near-Infrared Spectroscopy and Method Validation” LINK

“Identification of lactic acid bacteria Enterococcus and Lactococcus by near-infrared spectroscopy and multivariate classification” LINK

“Determination of manganese content in cottonseed meal using near-infrared spectrometry and multivariate calibration” LINK

“Advanced Modeling of Soil Biological Properties Using Visible Near Infrared Diffuse Reflectance Spectroscopy” |:ijbs1&volume=5&issue=1&article=001 LINK

“山茶油中油酸和亚油酸近红外光谱分析模型” “Analysis Model of Oleic and Linoleic Acids in Camellia Oilvia Near-Infrared Spectroscopy” LINK

“Determination of 10-Hydroxy-2-Decenoic Acid of Royal Jelly Using Near-Infrared Spectroscopy Combined with Chemometrics.” LINK

“Predicting of the Quality Attributes of Orange Fruit Using Hyperspectral Images” LINK

“Rapid and Automatic Classification of Tobacco Leaves Using a Hand-Held DLP-Based NIR Spectroscopy Device” LINK

“Association of mid-infrared-predicted milk and blood constituents with early-lactation disease, removal, and production outcomes in Holstein cows” |(19)30787-8/fulltext LINK

“Machine learning and soil sciences: A review aided by machine learning tools” LINK




Near Infrared

“Soil characterization using Visible Near Infrared Diffuse Reflectance Spectroscopy (VNIR DRS)” LINK

“Quantification of soil organic carbon stock in urban soils using visible and near infrared reflectance spectroscopy (VNIRS) in situ or in laboratory conditions” LINK

“Assessment of the human albumin in acid precipitation process using NIRS and multi-variable selection methods combined with SPA” LINK

” Implementación de estrategias de muestreo, inspección y control en la industria agroalimentaria basadas en el empleo automatizado de sensores nirs” LINK

“Determination of glucose concentration in aqueous solution using FT NIR spectroscopy” LINK

“Near infrared spectroscopy for world food security” LINK

“Titanium dioxide as an adsorbent to enhance the detection ability of near-infrared diffuse reflectance spectroscopy” LINK

“Near-infrared diffuse reflectance spectroscopy for discriminating fruit and vegetable products preserved in glass containers” LINK

“Ability of near-infrared spectroscopy for non-destructive detection of internal insect infestation in fruits: Meta-analysis of spectral ranges and optical measurement …” LINK

“Molecules, Vol. 24, Pages 3268: Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties” LINK

“Improvement of the Fourier Transform Near Infrared Method to Evaluate Extra Virgin Olive Oils by Analyzing 1,2-Diacylglycerols and 1,3-Diacylglycerols and Adding Unesterified Fatty Acids.” LINK




Agriculture

“51 Feedstuff fatty acid content, variation, techniques and implications on practical animal nutrition” LINK

“Prediction of Milk Coagulation Properties and Individual Cheese Yield in Sheep Using Partial Least Squares Regression” Animals LINK




Food & Feed

“Classifying the fertility of dairy cows using milk mid-infrared spectroscopy” LINK