Why use fully Automated Model Building for NIR-Spectroscopy?

  • lowers the barriers to using NIR-Spectroscopy based analysis technology
    by reducing the technical expertise required to build mathematical prediction models.

  • reduces human error, automates repetitive tasks,
    and enables the development of more effective models.

  • interpret-able trained models by access to the detailed calibration report
    that contains the intellectual property (IP) how the model is constructed and validated.

  • deploy models yourselves in a production-ready state
    (identifiable versioned models that are secured against changes and tampering)

  • free NIR-Predictor software with graphical user interface (GUI)
    and also optional with a software development kit (SDK)
    and source code samples using the application programming interface (API)
    to transform spectral raw data to prediction results.

  • allows to process anonymous data,
    we don’t need to know what type of sample you have measured or
    what name the ingredient has, you can just name it A or B.

read more : Main Advantages

NIR Calibration Service explained

Start Calibrate

Spectroscopy and Chemometrics News Weekly #39, 2019


Get NIR results effectively and smart with one software, the free NIR-Predictor V2.4
– now includes clever tooling to combine NIR and Lab data with minimal effort.

Spectroscopy and Chemometrics News Weekly 38, 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 38, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse Qualitätslabor FTNIR LINK

Spettroscopia e Chemiometria Weekly News 38, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem predictionmodel LINK

Near Infrared (NIR)

Get NIR results effectively and smart with one software, it includes clever tooling to combine NIR and Lab data with minimal effort. LINK

“Raw Material Variability and Its Impact on the Online Adaptive Control of Cohesive Powder Blend Homogeneity Using NIR Spectroscopy” LINK

“Pain Analysis, in Premature Infants, Using Near Infrared Spectroscopy (NIRS)” LINK

“Fast determination of oxides content in cement raw meal using NIR spectroscopy combined with synergy interval partial least square and different preprocessing …” LINK

“Near Infrared Reflectance (NIR) Spectroscopy assessment for Reproductive status detection and discrimination in Plethodontid females” LINK

“Detección temprana y discriminación de enfermedades fúngicas en plantas usando espectroscopía in situ” NIRS LINK

” Dataset on equine cartilage near infrared spectra, composition, and functional properties” LINK

“On-line monitoring of multiple component parameters during ethanol fermentation by near-infrared spectroscopy” LINK

“The potential of portable near infrared spectroscopy for assuring quality and authenticity in the food chain, using Iberian hams as an example” LINK

“Near-infrared spectroscopy to assess typhaneoside and isorhamnetin-3-O-glucoside in different processed products of pollen typhae” LINK

Chemometrics and NIR

“Near infrared spectroscopy as a tool for predicting growth habit and gender of Araucaria angustifolia” LINK

“A Systematic Chemometric Approach to Identify the Geographical Origin of Olive Oils” LINK

“Accuracy and biases in predicting the chemical and physical traits of many types of cheeses using different visible and near-infrared spectroscopic techniques and …” LINK

“An Approach to Rapid Determination of Tween-80 for the Quality Control of Traditional Chinese Medicine Injection by Partial Least Squares Regression in Near-Infrared Spectral Modeling” LINK

“Classification of Pathogenic Bacteria Using Near-Infrared Diffuse Reflectance Spectroscopy” LINK

Hyperspectral Imaging (HSI)

” Hyperspectral Imaging (HSI) in anatomic left liver resection” LINK


“Evaluating low-cost portable near infrared sensors for rapid analysis of soils from South Eastern Australia” LINK

Agriculture and NIR

“Vis-Nir Reflectance Spectroscopy for Assessment of Soil Organic Carbon in a Rice-Wheat Field of Ludhiana District of Punjab” LINK

“The use of near infrared spectroscopy for the prediction of gaseous and particulate emissions from agricultural feedstock pellets” LINK

“Comparison of methods to estimate crude protein and digestible organic matter content of diets ingested by free-ranging sheep” LINK

Pharma and NIR

“QbD Innovation Through Advances in PAT, Data Analysis Methodologies, and Material Characterization” LINK


“Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation” LINK

NIR-Predictor – Frequently Asked Questions (FAQ)

NIR-Predictor – FAQ

Please also refer to the NIR-Predictor – Manual and check the Hints and Notes.

How to Configure / Load / Import / Activate / Setup / Use the Calibrations (*.cm) in NIR-Predictor?

Chapter “Configure the Calibrations for prediction usage” – NIR-Predictor – Manual

Do you have a calibration file for XY ?

We create custom calibrations out of your NIR + Lab measurements of XY.
We do not sell off-the-shelf calibrations.

I have downloaded the software but can’t see it?

Please note, that the download time will be very short, because of the small file size.
Check your browser’s download folder. The download is the file “NIR-PredictorVx.y.zip”

Why a .zip and no installer (Setup.exe) ?

Because a .zip deploy keeps it simple for all:

  • easy : no Administrator rights needed to install, delete it to uninstall
  • harmless : no system changes during setup
  • transparency : you see what you get

Is there a command line (CLI) version of NIR-Predictor ?

If you want to customize it in all details, our OEM API for NIR-instrument-software (White-Label) integration gives you full access. If you are an NIR-Vendor (or similar) please contact us via email info@CalibrationModel.com

The free NIR-Predictor does not create a model, what is wrong ?

As the name says, the NIR-Predictor just predicts NIR data with a model. To create a model you need to send your data to the CalibrationModel service, after development process you get an email with a link to the calibration where it can be purchased and downloaded.

Why does the creation of the PropertyFile.txt take so long with hundrets of spectra files?

It normally takes only 1-10 seconds not minutes.
Make sure that the spectra data files are stored locally on your main drive
and not on a cloud-drive or network storage or slow USB thumb drive or SD-Card.

Is there a way to use converted ASCII spectrum data to be used in NIR-Predictor?

Yes, this is the simplest ASCII CSV file format the NIR-Predictor supports.
And there are other formats supported.

Can you convert old calibration data from vendor A to be integrated to our new vendor B NIRS calibration data in our instrument?

No, we don’t do model or spectra conversion / transformation (aka model transfer).
We build optimized models with wavelength compatible data.

Does NIR-Predictor contain any malware, spyware or adware?

No, NIR-Predictor does not contain any malware, spyware or adware.

How to copy the prediction results from the table in the browser?

Copy selected columns from the table.
By holding down the Ctrl key, rectangular areas in the table can be selected with the mouse and copied to the clipboard with Ctrl+C and then copied to a spreadsheet program with Ctrl+V.

Will an expired calibration still work?

No. Until you extend the usage time.
The expired calibration file will be moved to the CalibrationExpired folder on the next start of NIR-Predictor or “Search and load Calibrations” menu function.

Selected Calibration files from the folder CalibrationExpired can be send to info@CalibrationModel.com with your Request file (.req) files for extending their usage time.

There is the possibility to get a perpetual usage, which means their is no expiration (valid until 2050).

That way you can get the time extended calibration back, that behaves exactly as the one before with extended usage time.

What does the calibration Expiration date mean exactly on the Prediction Report?

The Expiration date, it is the final day when the calibration will be valid (similar to credit cards).

What does the (number) in brackets after the [range] mean?

During the creation of a Calibration Request the NIR-Predictor shows a message containing
” ‘Prop1’ / “Quantitative [1.40 – 2.90] (154) ”
here 154 is the number of unique values in the property range.

How long does it take to create of the property file and calibration request file from 500 spectra files?

Use a local folder on your computer (not a network drive) for your spectra files then the property file and the calibration request file is created in around 1-3 seconds. (measured on a system with SSD drive, Intel i7, 2.4 GHz)

I tried to create the calibration request and got the error message: The number of Property Values of all spectra are different?

Use the generated PropertiesBySpectra (Note: Spectra not Sample) template file.
Do not reformat the generated template file, just fill in the Property values and save as Text CSV (*.csv) file (not as Excel file “.xlsx”).

Are you able to create the calibration if we only have 20 spectra?

To create a reliable quantitative calibration you need measured spectra of at least 48..60 (more is better) different samples with different Lab-values in the required measuring range!
The NIR-Predictor will check for that automatically.

Same sample measured multiple times (replicate measurements), how to enter the Lab-value only once in Property file?

Use the created PropertiesBySample template (not the PropertiesBySpectra).

Different samples with exact the same Lab-value, how to enter the Lab-Values?

Entering the Lab-values into the generated PropertiesBySpectra template the NIR-Predictor detects them as the same Sample and as a result we have too less different values to build a calibration. But in my case these are different samples with exact the same Lab-value, how to do?

You have to cheat a little bit to make NIR-Predictor do not detect same sample as measured multiple times. This is because most NIR users do replicate measurements on the same sample and NIR-Predictor looks for that. In PropertiesBySpectra modify the values a little bit to make them different, e.g.

Is the free NIR-Predictor software you provide for anyone to download and use?

Yes, if downloaded directly from our homepage by the user.
See also Software License Agreement

What is an Outlier?

The spectrum is an outlier to the model, if the spectrum is not similar with the spectra and lab-values the model is built with.

The default setting in NIR-Predictor Menu > “Report with Simplified Outlier Symbols”
is ON, that will show only the worst case instead of all combinations to have a simplified minimal information.
if OFF, that will show the combinations (e.g. “XO=” or “XO” or “O=” or “X=”), which is more informative for analyzing problem cases.
See also manual chapter Outliers.

If something is wrong, please tell us

Spectroscopy and Chemometrics News Weekly #11, 2019

This week’s NIR news Weekly is sponsored by YourCompanyNameHere – BestNIRinstruments. Check out their product page … link

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


Spectroscopy and Chemometrics News Weekly 10, 2019 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Spectrometric Analytical Sensors LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 10, 2019 | NIRS NIR Spektroskopie Chemometrie Proben Analyse Spektrometer Spektral Sensor Nahinfrarot Analysengeräte Analysentechnik Analysemethode Analyzer Nahinfrarotspektroskopie LINK

Spettroscopia e Chemiometria Weekly News 10, 2019 | NIRS Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Sensore Attrezzatura analitica LINK


” First-Principles and Empirical Approaches to Predicting In Vitro Dissolution for Pharmaceutical Formulation and Process Development and for Product Release Testing” LINK

“Near-Infrared Spectroscopy Analytical Model Using Ensemble Partial Least Squares Regression” LINK

Near Infrared

“Consumer perception of d’Anjou pear classified by dry matter at harvest using near-infrared spectroscopy” LINK

“Small interferometer with wide wavelength coverage” NIREOS LINK

“Application of NIRS to the Direct Measurement of Carbonization in Torrefied Wheat Straw Chars” LINK

“New Near-Infrared Imaging and Spectroscopy of NGC 2071-IR [GA]” 400 Parsec away 😉 LINK

“Medicine Discrimination of NIRS Based on Regularized Collaborative Representation Classification with Gabor Optimizer” LINK


“Real-Time Release Testing of Herbal Extract Powder by Near-Infrared Spectroscopy considering the Uncertainty around Specification Limits” LINK

” On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development” LINK

“Ex Vivo Assessment of Various Histological Differentiation in Human Carotid Plaque with Near-infrared Spectroscopy Using Multiple Wavelengths.” LINK

“Application of near-infrared spectroscopy for screening the potato flour content in Chinese steamed bread” LINK

“Understanding the role of water in the aggregation of poly(N,N-dimethylaminoethyl methacrylate) in aqueous solution using temperature-dependent near-infrared spectroscopy.” LINK

“Ranking the solubility of ammonia in ionic liquids using near infrared spectroscopy and multivariate curve resolution” LINK

“Breakthrough Potential in Near-Infrared Spectroscopy: Spectra Simulation. A Review of Recent Developments.” LINK

“Screening of maize haploid kernels based on near infrared spectroscopy quantitative analysis” LINK

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


“Improving InSitu Estimation of Soil Profile Properties Using a Multi-Sensor Probe.” LINK

Process Control



“Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar” RemoteSensing LINK

“Water molecular structure underpins extreme desiccation tolerance of the resurrection plant Haberlea rhodopensis.” LINK

“The Relation between Soil Water Repellency and Water Content can be Predicted by Vis-NIR Spectroscopy” LINK


“Development of a Low-Cost Multi-Waveband LED Illumination Imaging Technique for Rapid Evaluation of Fresh Meat Quality” LINK

“Distinguishing between bread wheat and spelt grains using molecular markers and spectroscopy.” LINK


“FT-IR Spectroscopy Applied for Identification of a Mineral Drug Substance in Drug Products: Application to Bentonite” LINK


“On feasibility of near-infrared spectroscopy for noninvasive blood glucose measurements” LINK

Spectroscopy and Chemometrics News Weekly #1, 2019


Develop customized NIRS applications and freeing up hours of spectroscopy analysts time | spectroscopist chemist laboratory LINK

Increase Your Profit with optimized NIR Accuracy Beverage Processing Dairy LINK

Neue Möglichkeiten in der Entwicklung von Applikationen für die NIR-Analytik | Labor NIRS Analytik LaborAnalytik LINK

New : FREE NIR Predictor Software, drag&drop spectral data to plug&play calibrations, for any NIRS Analysis sensor type. | Chemometrics Prediction LINK

Service für professionelle Entwicklung von Nah-Infrarot Spektroskopie Kalibrations Methoden | NIRS Qualität Testen LINK

Spectroscopy and Chemometrics News Weekly 52, 2018 | NIRS Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors Spectrometry LINK


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


“Nocturnal Hypoglycemic Alarm Based on Near-Infrared Spectroscopy: In Vivo Studies with a Rat Animal Model.” LINK

“Hydrolysis kinetics of silane coupling agents studied by near-infrared spectroscopy plus partial least squares model” LINK

“Utilizing visible and near infrared spectroscopy based on multi-class support vector machines classification to characterize olive oil adulteration” LINK

“Analysis of Near-Infrared (NIR) Spectroscopy for Chlorophyll Prediction in Oil Palm Leaves” LINK

“基于卷积神经网络的烟叶近红外光谱分类建模方法研究” “The Study of Classification Modeling Method for Near Infrared Spectroscopy of Tobacco Leaves Based on Convolution Neural Network” LINK

Near Infrared

“Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis” LINK

“Acton Optics & Coatings Develops New UV-NIR Neutral Density Filters That Offer Unmatched Broadband Performance” LINK

“The Influence of Packaging on Cosmetic Emulsion during Storage Assessed by FT-NIR Spectroscopy and Color Measurements” – Society of Cosmetic Chemists LINK

The Influence of Packaging on Cosmetic Emulsion during Storage Assessed by FT-NIR Spectroscopy and Color Measurements – Society of Cosmetic Chemists LINK

“Measurement of pesticide residues in peppers by near-infrared reflectance spectroscopy” NIRS LINK

“Near infrared reflectance spectroscopy of pasticceria foodstuff as protein content predicting method” NIRS NIR LINK

“Application of portable micro near infrared spectroscopy to the screening of extractable polyphenols in grape skins: A complex challenge.” vineyard NIR LINK

“Qualitative Identification of Pesticide Residues in Pakchoi Based on Near Infrared Spectroscopy” NIRS LINK

“稻谷有害霉菌侵染的近红外光谱快速检测” “Rapid Detection of Harmful Mold Infection in Rice by Near Infrared Spectroscopy” LINK

“Quantitative Characterization of Arnicae flos by RP-HPLC-UV and NIR Spectroscopy.” LINK


“Fast detection of cocoa shell in cocoa powders by Near Infrared Spectroscopy and multivariate analysis” LINK

“SDAE-BP Based Octane Number Soft Sensor Using Near-infrared Spectroscopy in Gasoline Blending Process” LINK

“Differentiating between bottled water from different sources using near-infrared spectroscopy” LINK

“Nondestructive Detection of Pesticide Residue on Banana Surface Based on Near Infrared Spectroscopy” LINK

“Raman spectroscopy of a near infrared absorbing proteorhodopsin: Similarities to the bacteriorhodopsin O photointermediate.” LINK

“Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis.” LINK


“Surface Chemistry of Oil-Filled Organic Nanoparticle Coated Papers Analyzed Using Micro-Raman Mapping” LINK


“Spectroscopy and Spectral Imaging Techniques for Non-destructive Food Microbial Assessment” LINK

“Evaluating Soybean Cultivars for Low- and High-Temperature Tolerance During the Seedling Growth Stage” Agronomy NIRS LINK


to acquire Celgene to create a leading innovative biopharma company LINK


“The nutritive value of hay from the family farms of northwestern Croatia” LINK

“A comparison study of five different methods to measure carotenoids in biofortified yellow cassava (Manihot esculenta)” LINK

“大気中光電子収量分光分析による有機薄膜半導体のエネルギー準位の測定” LINK

Spectroscopy and Chemometrics News Weekly #45-47, 2018


NIR Machine Learning as a Service, a Game Changer for Productivity and Accuracy/Precision! ( NIRS Spectroscopy AI MLaaS ) LINK


“A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development” LINK

“Heterocorrelation Using Polarized Raman Spectra in the Characterization of Polymers” LINK

“Chemometric approach for discriminating tobacco trademarks by near infrared spectroscopy.” LINK

“Quantification of Oil Content in Intact Sugar Beet Seed by Near-Infrared Spectroscopy” Agronomy LINK

“Evaluation of chemometric approaches for polymorphs quantification in tablets using near-infrared hyperspectral images.” LINK

“Classification of aflatoxin contaminated single Corn kernels by Ultraviolet to near Infrared spectroscopy” LINK

“A GA‐based stacking algorithm for predicting soil organic matter from vis–NIR spectral data” LINK

Near Infrared

“NIR Spectroscopy for Quality Evaluation of Fruits and Vegetables” LINK

“NIRS Calibration of Aflatoxin in Maize” LINK

“Quantification of pharmaceutical compounds in wastewater samples by Near Infrared Spectroscopy (NIR)” LINK


“Determination of Stevioside and Rebaudioside A in Stevia rebaudiana Bertoni Leaves Using near Infrared Spectroscopy and Multivariate Data Analysis” LINK

“Mid-Infrared Waveguides: A Perspective” optical infrared sensors chembio sensing LINK

“Application of visible-near infrared spectroscopy to evaluate the quality of button mushrooms” harvest LINK


“Raman Spectroscopy of Blood and Blood Components” hemoglobin LINK

How food producers are upping their game with digital data is explaned by Matt Stillwell, Digital Marketing Manager trough examples of Chile and USA users of the sorting technology LINK

“Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review” OnlineMonitoring LINK


“Metamaterials allow researchers to shrink a synchrotron onto a chip – An optical chip smaller than a penny can produce terahertz radiation, with potential applications in spectroscopy” terahertz spectroscopy LINK


”Digital is the main reason over half of the companies on the Fortune 500 have disappeared since the year 2000.” – Pierre Nanterme quote tech startups AI bigdata digitaltransformation marketing LINK


“Log‐ratio transformation is the key to determining soil organic carbon fractions with near‐infrared spectroscopy” LINK

“Mobile Spectroscopic Instrumentation in Archaeometry Research” Portable instrumentation, ArtAnalysis, Archaeometry, Archaeology Insitu LINK


“Bulk Protein and Oil Prediction in Soybean Using Transmission Raman Spectroscopy: A Comparison of Approaches to Optimize Accuracy” LINK

This Robot could make farming your new weekend activity by | ArtificialIntelligence AI MachineLearning ML Agriculture Bigdata Robotics Technology Digital Videos RT Cc: LINK

“Automation for Water and Nitrogen Deficit Stress Detection in Soilless Tomato Crops Based on Spectral Indices” Horticulturae LINK


IBM developed the world’s smallest computer by | ArtificialIntelligence AI IoT InternetOfThings Technology ConnectedDevices DigitalTransformation Innovation SmartTech Videos RT Cc: LINK

“Inline Spectroscopy: From Concept to Function” Instrumentation, OpticalDesign, IndustrialApplications LINK

Spectroscopy and Chemometrics News Weekly #40, 2018

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


NIR Machine Learning as a Service, a Game Changer for Productivity and Accuracy/Precision! ( NIRS Spectroscopy AI MLaaS ) LINK

New : FREE NIR Predictor Software, drag&drop spectral data to plug&play calibrations, for any NIRS Analysis sensor type. | Chemometrics Prediction LINK

Spectroscopy and Chemometrics News Weekly 39, 2018 | NIRS NIR Spectroscopy Chemometrics analysis Spectral Spectrometer Sensors quality control laboratories LINK

Spektroskopie und Chemometrie Neuigkeiten Wöchentlich, KW 39 2018 | NIRS Spektroskopie Chemometrie analyse Spektral Spektrometer Sensor LINK

Spettroscopia e Chemiometria Weekly News 39, 2018 | NIRS Spettroscopia Chemiometria analisi Spettrale Spettrometro Sensore LINK


“Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum.” LINK

“Determination of pesticides in flour substrate by chemometric methods using terahertz spectroscopy” LINK

“Accuracy of Predicting the Moisture Content of Three Types of Wood Sections Using Near Infrared Spectroscopy” LINK

“Soil fertility assessment by Vis-NIR spectroscopy: Predicting soil functioning rather than availability indices” LINK

Near Infrared

“Discrimination of Chili Powder Origin Using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS), Inductively Coupled Plasma–Optical Emission Spectroscopy (ICP-OES), and Near Infrared (NIR) Spectroscopy” LINK

“A digitalization strategy for quality control in food industry based on Artificial Intelligence techniques” NIRS Sensory LINK

“MicaSense releases new sensor Altum and introduces sensors powered by DJI – Geospatial World (press release) (blog)” NIR LINK

“Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology” LINK

“Tensile deformation of polyamide (PA) 6 probed by rheo-optical near-infrared (NIR) spectroscopy” LINK

“Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran.” LINK

“The application of FT‐NIRS for the detection of bruises and the prediction of rot susceptibility of ‘Hass’ avocado fruit” FTNIRS LINK

“The potential of near infrared spectroscopy (NIRS) to trace apple origin: Study on different cultivars and orchard elevations” fruits LINK


“Recent advancement in near infrared spectroscopy and hyperspectral imaging techniques for quality and safety assessment of agricultural and food products in the …” LINK


“Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)” LINK

“Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis.” LINK


“The common quantitative model for the determination of multiple near infrared spectrometers” LINK


“The inversion of nitrogen balance index in typical growth period of soybean based on high definition digital image and hyperspectral data on unmanned aerial vehicles” LINK

Food & Feed

“Nitrogen Distribution Analysis for All Seeds of Cowpea (Vigna unguiculata) Using Single-Seed near Infrared Spectroscopy” foodsecurity foodsafety LINK


“Outlook on optical identification of micro- and nanoplastics in aquatic environments.” LINK


“The Potential of the Quick Detection of Selectins Using Raman Spectroscopy to Discriminate Lung Cancer Patients from Healthy Subjects” LINK


“Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy-opportunities and recent advances.” LINK


This reads like a noir SciFi Thriller LINK

” 红松仁脂肪的近红外光谱定量检测 Quantitative detection of fat in peeled Korean pine seeds using near infra-red spectroscopy” LINK