Spectroscopy and Chemometrics News Weekly #3, 2020Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #3, 2020Spettroscopia e Chemiometria Weekly News #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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Near Infrared (NIR) Spectroscopy

Hyperspectral Imaging

Chemometrics and Machine Learning

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

NIR in Laboratory

"Use of Remote sensing technology to assess grapevine quality" LINK

CalibrationModel.com

Near Infrared (NIR) Spectroscopy

Hyperspectral Imaging

Chemometrics and Machine Learning

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

NIR in Laboratory

"Use of Remote sensing technology to assess grapevine quality" LINK

CalibrationModel.com

Five Mistakes to avoid on Digitalization in NIR-Spectroscopy – that Lab Managers, Executives and CEOs must know!

The fast and non-destructive NIR-Spectroscopy analysis method is based on predictive models that are built upon spectral and Lab reference data.

Developing such models with Chemometric techniques or Machine Learning Algorithms can now be fully automatized with many advantages.

If your company uses NIR-Spectroscopy, do you know if your company yet tried this calibration service? And if not, why not?

Here are some possible reasons why such services are blocked in your company.

With the knowledge where and why it may be blocked, you are able to overcome the barriers and go for innovation.

Misbeliefs of People that may block Advanced Services (AI and Automatic Machine Learning)

5 Mistakes to avoid on Digitalization in NIR-Spectroscopy

	Misbeliefs	People	Remove barriers
1	You need to program or scripting with data modeling tools (R, Phyton, TensorFlow, Matlab, sas, SPSS, H2O, scikit, …..)	The opinion that only PhD (statisticians, data scientists) are smart enough to create models.	Give the service a try, and compare! There are free trials for calibration development.
2	We have done it always manually by hand. We must see the plots and interpret the stats in every step. Job protectionism : “My job will dramatically change if that will work, so I will never prepare real-life data to give someone a possibility to try such a service.”	AI / ML haters (NIR-Specialists, NIR-Experts) don’t belive in automated calibration.	Give the service a try, and compare! You will see plots and stats! There are free trials for calibration development.
3	Against any new hardware, software or service because of supposed new problems.	Preserving ones – the permission gate keepers (IT)	Give it a try, without an account, download the free NIR-Predictor software (full version, no limitations) with included demo data, it installs and runs without Administrator priviledge!
4	Ensures that new methodologies follow the rules. Any new thing will give extra work for them.	Compliance and Regulation officers.	Get access to the detailed model blueprint (ISO 12099) – there is no vendor lock-in or black-box model. You can even anonymize your data for Knowledge Protection – see JCAMP-Anonymizer.
5	Our employees are open for new things. Our employees do not block.	Managers, executives, board level.	Remove the Barriers to Innovation!

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Fünf Fehler, die es bei der Digitalisierung in der NIR-Spektroskopie zu vermeiden gilt - das müssen Labormanager, Führungskräfte und CEOs, wissen!

Die schnelle und zerstörungsfreie Analysemethode der NIR-Spektroskopie basiert auf prädiktiven Modellen, die auf Spektral- und Laborreferenzdaten basieren.

Die Entwicklung solcher Modelle mit chemometrischen Techniken oder Machine Learning Algorithmen kann nun mit vielen Vorteilen voll automatisiert werden.

Wenn Ihr Unternehmen NIR-Spektroskopie einsetzt, wissen Sie ob Ihr Unternehmen bereits diesen Kalibrierdienst in Anspruch genommen hat? Und wenn nicht, warum nicht?

Hier sind einige mögliche Gründe, warum solche Dienste in Unternehmen blockiert werden.

Mit dem Wissen, wo und warum es blockiert werden kann, sind Sie in der Lage, die Barrieren zu überwinden und Innovationen voranzutreiben.

Irrtümer von Personen, die Advanced Services blockieren könnten (KI und Automatic Machine Learning)

	Irrtümer	Personen	Barrieren beseitigen
1	Man muss mit Datenmodellierungswerkzeugen programmieren oder skripten (R, Phyton, TensorFlow, Matlab, sas, SPSS, H2O, scikit,.......).	Die Meinung dass nur Studierte (Statistiker, Data Scientists) klug genug sind, um Modelle zu erstellen.	Probiere den Service aus und vergleiche! Es gibt kostenlose Tests für die Kalibrationsentwicklung.
2	Wir haben es immer manuell von Hand gemacht. Wir müssen die Diagramme sehen und die Statistiken in jedem Schritt interpretieren. Arbeitsplatzprotektionismus. "Mein Job wird sich dramatisch ändern, wenn das funktioniert, also werde ich niemals reale Daten vorbereiten, um jemandem die Möglichkeit zu geben, einen solchen Service auszuprobieren."	KI / ML-Hasser (NIR-Spezialisten, NIR-Experten) glauben nicht an eine automatisierte Kalibrierung.	Probiere den Service aus und vergleichen! Du wirst Diagramme und Statistiken sehen! Es gibt kostenlose Tests für die Kalibrationsentwicklung.
3	Gegen jede neue Hardware, Software oder Dienstleistung wegen angeblich neuer Probleme.	Bewahrer - die Berechtigungstorwärter (IT)	Probiere es aus, ohne Account, lade die kostenlose NIR-Predictor Software (Vollversion, ohne Einschränkungen) mit enthaltenen Demo-Daten herunter, sie installiert und läuft ohne Administratorrechte!
4	Stellt sicher, dass neue Methoden den Regeln folgen. Jede neue Sache wird ihnen zusätzliche Arbeit geben.	Compliance- und Regulierungsbeauftragte	Sie können Zugang zum detaillierten Modellplan (ISO 12099) erhalten - es gibt kein Vendor Lock-in- oder Black-Box-Modell. Sie können Ihre Daten sogar für den Wissensschutz anonymisieren - siehe JCAMP-Anonymizer.
5	Unsere Mitarbeiter sind offen für Neues. Unsere Mitarbeiter blockieren nicht.	Manager, Führungskräfte, Vorstandsebene	Beseitigen Sie die Innovationsbarrieren!

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