Deep chemometrics: Validation and transfer of a global deep near‐infrared fruit model to use it on a new portable instrument

A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit

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

Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always

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

Essential processing methods of hyperspectral images of agricultural and food products

(2020) Beibei Jia et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Second-order calibration in combination with fluorescence fibre-optic data modelling as a novel approach for monitoring the maturation stage of plums

(2020) Olga Monago-Maraña et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

The uses of near infra-red spectroscopy in postharvest decision support: A review

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

Noise level penalizing robust Gaussian process regression for NIR spectroscopy quantitative analysis

(2020) Cong Liu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit

(2020) Puneet Mishra et al.   INFRARED PHYSICS & 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

Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach

(2020) Puneet Mishra 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

Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit

(2020) Puneet Mishra et al.   TALANTA

FRUITNIR-GUI: A graphical user interface for correcting external influences in multi-batch near infrared experiments related to fruit quality prediction

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

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

(2018) Celio Pasquini   ANALYTICA CHIMICA ACTA

Detecting and classifying minor bruised potato based on hyperspectral imaging

(2018) Dandan Ye et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration

(2018) Chenhao Cui et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Evaluating the performance of a consumer scale SCiO™ molecular sensor to predict quality of horticultural products

(2018) Mo Li et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Portable Spectroscopy

(2018) Richard A. Crocombe   APPLIED SPECTROSCOPY

On-line application of near infrared (NIR) spectroscopy in food production

(2015) Jan U. Porep et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

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