Multi-sensor spectral fusion to model grape composition using deep learning

Spectral classification by generative adversarial linear discriminant analysis

(2023) Ziyi Cao et al.   ANALYTICA CHIMICA ACTA

Data fusion applied in near and mid infrared spectroscopy for crude oil classification

(2023) Mariana K. Moro et al.   FUEL

Optical spectroscopy and chemometrics in intraoperative tumor margin assessment

(2023) Ekaterina Boichenko et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

SpectraTr: A novel deep learning model for qualitative analysis of drug spectroscopy based on transformer structure

(2022) Pengyou Fu et al.   Journal of Innovative Optical Health Sciences

Grapevine stem water potential estimation based on sensor fusion

(2022) Noa Ohana-Levi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Markov Transition Field Combined with Convolutional Neural Network Improved the Predictive Performance of Near-Infrared Spectroscopy Models for Determination of Aflatoxin B1 in Maize

(2022) Bo Wang et al.   Foods

Probing 1D convolutional neural network adapted to near-infrared spectroscopy for efficient classification of mixed fish

(2022) Xinghao Chen et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Sequential data-fusion of near-infrared and mid-infrared spectroscopy data for improved prediction of quality traits in tuber flours

(2022) Lalit Mohan Kandpal et al.   INFRARED PHYSICS & TECHNOLOGY

Deep learning for chemometric analysis of plastic spectral data from infrared and Raman databases

(2022) Edward Ren Kai Neo et al.   RESOURCES CONSERVATION AND RECYCLING

Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models

(2022) Yaeran Kim et al.   SENSORS

Rapid qualitative detection of titanium dioxide adulteration in persimmon icing using portable Raman spectrometer and Machine learning

(2022) Junmeng Li et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Predicting pectin performance strength using near‐infrared spectroscopic data: A comparative evaluation of 1‐D convolutional neural network, partial least squares, and ridge regression modeling

(2021) Kasper A. Einarson et al.   JOURNAL OF CHEMOMETRICS

Recent trends in multi-block data analysis in chemometrics for multi-source data integration

(2021) Puneet Mishra et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar

(2021) Kensuke Kawamura et al.   Remote Sensing

Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra

(2021) Uladzislau Blazhko et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Multi-platform integration based on NIR and UV–Vis spectroscopies for the geographical traceability of the fruits of Amomum tsao-ko

(2021) Zhimin Liu et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Infrared Spectroscopy and Chemometric Applications for the Qualitative and Quantitative Investigation of Grapevine Organs

(2021) Elizma van Wyngaard et al.   Frontiers in Plant Science

Comparison of Individual and Integrated Inline Raman, Near-Infrared, and Mid-Infrared Spectroscopic Models to Predict the Viscosity of Micellar Liquids

(2020) Kiran Haroon et al.   APPLIED SPECTROSCOPY

MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing

(2020) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Comparison of partial least squares-discriminant analysis, support vector machines and deep neural networks for spectrometric classification of seed vigour in a broad range of tree species

(2020) Wenjian Liu et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Raman spectroscopy coupled with chemometrics for food authentication: A review

(2020) Yi Xu et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

A fast determination of insecticide deltamethrin by spectral data fusion of UV–vis and NIR based on extreme learning machine

(2020) Qianqian Li et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis

(2019) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening

(2019) Juan Fernández-Novales et al.   TALANTA

Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation

(2019) Salvador Gutiérrez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A multi-source data fusion approach to assess spatial-temporal variability and delineate homogeneous zones: A use case in a table grape vineyard in Greece

(2019) Evangelos Anastasiou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Development of deep learning method for predicting firmness and soluble solid content of postharvest Korla fragrant pear using Vis/NIR hyperspectral reflectance imaging

(2018) Xinjie Yu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Tea types classification with data fusion of UV–Vis, synchronous fluorescence and NIR spectroscopies and chemometric analysis

(2018) A. Dankowska et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Ground based hyperspectral imaging for extensive mango yield estimation

(2018) Salvador Gutiérrez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

(2017) Maitiniyazi Maimaitijiang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley

(2016) Pablo Rischbeck et al.   EUROPEAN JOURNAL OF AGRONOMY

Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach

(2016) Kathryn A. Semmens et al.   REMOTE SENSING OF ENVIRONMENT

Implementation of an on-line near infrared/visible (NIR/VIS) spectrometer for rapid quality assessment of grapes upon receival at wineries

(2015) J.U. Porep et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review

(2015) Levente L. Simon et al.   ORGANIC PROCESS RESEARCH & DEVELOPMENT

Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer

(2015) Salvador Gutiérrez et al.   PLoS One

Study of the effects of proline, phenylalanine, and urea foliar application to Tempranillo vineyards on grape amino acid content. Comparison with commercial nitrogen fertilisers

(2014) T. Garde-Cerdán et al.   FOOD CHEMISTRY

Evaluation of transformer insulating oil quality using NIR, fluorescence, and NMR spectroscopic data fusion

(2014) Mariana S. Godinho et al.   TALANTA

Preference mapping by PO-PLS: Separating common and unique information in several data blocks

(2011) Ingrid Måge et al.   FOOD QUALITY AND PREFERENCE

The effect of sample storage and homogenisation techniques on the chemical composition and near infrared spectra of white grapes

(2009) Wieslawa Cynkar et al.   FOOD RESEARCH INTERNATIONAL

Review of the most common pre-processing techniques for near-infrared spectra

(2009) Åsmund Rinnan et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Effect of the addition of different quantities of amino acids to nitrogen-deficient must on the formation of esters, alcohols, and acids during wine alcoholic fermentation

(2007) Teresa Garde-Cerdán et al.   LWT-FOOD SCIENCE AND TECHNOLOGY