A deep learning approach to improving spectral analysis of fruit quality under interseason variation

Realizing transfer learning for updating deep learning models of spectral data to be used in a new scenario

(2021) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Food and agro-product quality evaluation based on spectroscopy and deep learning: A review

(2021) Xiaolei Zhang et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments

(2021) Jie Yang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Convolutional capture of the expansion of extra virgin olive oil droplets to quantify adulteration

(2021) Sandra Pradana-Lopez et al.   FOOD CHEMISTRY

Reflectance spectroscopy with operator difference for determination of behenic acid in edible vegetable oils by using convolutional neural network and polynomial correction

(2021) Shizhuang Weng et al.   FOOD CHEMISTRY

Hyperspectral technique combined with deep learning algorithm for detection of compound heavy metals in lettuce

(2020) Zhou xin et al.   FOOD CHEMISTRY

Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering

(2020) Félix Lussier et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Understanding the learning mechanism of convolutional neural networks in spectral analysis

(2020) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

Peach variety detection using VIS-NIR spectroscopy and deep learning

(2020) Dian Rong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Location, year, and tree age impact NIR-based postharvest prediction of dry matter concentration for 58 apple accessions

(2020) Soon Li Teh et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

(2020) Kerry B. Walsh et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content

(2020) N.T. Anderson et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content. II. Local PLS and nonlinear models

(2020) N.T. Anderson et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Two standard-free approaches to correct for external influences on near-infrared spectra to make models widely applicable

(2020) Puneet Mishra et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Deep transfer learning to verify quality and safety of ground coffee

(2020) Sandra Pradana-López et al.   FOOD CONTROL

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

(2019) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

Transfer learning to localise a continental soil vis-NIR calibration model

(2019) J. Padarian et al.   GEODERMA

Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method

(2019) Shuxiang Fan et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Deep learning for vibrational spectral analysis: Recent progress and a practical guide

(2019) Jie Yang et al.   ANALYTICA CHIMICA ACTA

A new calibration model transferring strategy maintaining the predictive abilities of NIR multivariate calibration model applied in different batches process of extraction

(2019) Andong Wang et al.   INFRARED PHYSICS & TECHNOLOGY

Accurate prediction of soluble solid content of apples from multiple geographical regions by combining deep learning with spectral fingerprint features

(2019) Yuhao Bai et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Non-Destructive Soluble Solids Content Determination for ‘Rocha’ Pear Based on VIS-SWNIR Spectroscopy under ‘Real World’ Sorting Facility Conditions

(2019) Dário Passos et al.   SENSORS

Deep Learning Application for Predicting Soil Organic Matter Content by VIS-NIR Spectroscopy

(2019) Zhe Xu et al.   Computational Intelligence and Neuroscience

Near infrared spectroscopy: A mature analytical technique with new perspectives – A review

(2018) Celio Pasquini   ANALYTICA CHIMICA ACTA

LUCAS Soil, the largest expandable soil dataset for Europe: a review

(2017) A. Orgiazzi et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Calibration transfer between different analytical methods

(2017) Vitaly Panchuk et al.   TALANTA

Robust NIRS models for non-destructive prediction of postharvest fruit ripeness and quality in mango

(2016) Parika Rungpichayapichet et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Linear model correction: A method for transferring a near-infrared multivariate calibration model without standard samples

(2016) Yan Liu et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Deep learning

(2015) Yann LeCun et al.   NATURE

Online updating of NIR model and its industrial application via adaptive wavelength selection and local regression strategy

(2014) Kaixun He et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Model Updating for Spectral Calibration Maintenance and Transfer Using 1-Norm Variants of Tikhonov Regularization

(2010) M. Ross Kunz et al.   ANALYTICAL CHEMISTRY

Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance

(2009) Els Bobelyn et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY