Deep Tutti Frutti: Exploring CNN architectures for dry matter prediction in fruit from multi-fruit near-infrared spectra

γ-polyglutamic acid fermentation monitoring with ATR-FTIR spectroscopy based on a shallow convolutional neural network combined with data augmentation and attention module

(2023) Peng Shan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Review: The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks

(2023) Jeremy Walsh et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Multiscale Deepspectra Network: Detection of Pyrethroid Pesticide Residues on the Hami Melon

(2023) Guowei Yu et al.   Foods

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

(2023) Salvador Gutiérrez et al.   Information Fusion

Predicting the Quality of Tangerines Using the GCNN-LSTM-AT Network Based on Vis–NIR Spectroscopy

(2023) Yiran Wu et al.   Applied Sciences-Basel

A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks

(2022) Dário Passos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

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

(2022) Jie Yang et al.   FOOD CONTROL

Estimation of Soluble Solids for Stone Fruit Varieties Based on Near-Infrared Spectra Using Machine Learning Techniques

(2022) Pedro Escárate et al.   SENSORS

Establishment of online deep learning model for insect-affected pests in “Yali” pears based on visible-near-infrared spectroscopy

(2022) Yong Hao et al.   Frontiers in Nutrition

Automatic neural network hyperparameter optimization for extrapolation: Lessons learned from visible and near-infrared spectroscopy of mango fruit

(2022) Matthew Dirks et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Deep learning for near-infrared spectral data modelling: Hypes and benefits

(2022) Puneet Mishra et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

An Accuracy Improvement Method Based on Multi-Source Information Fusion and Deep Learning for TSSC and Water Content Nondestructive Detection in “Luogang” Orange

(2021) Sai Xu et al.   Electronics

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

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

Handling batch-to-batch variability in portable spectroscopy of fresh fruit with minimal parameter adjustment

(2021) Puneet Mishra et al.   ANALYTICA CHIMICA ACTA

An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling

(2021) Dário Passos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

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

(2021) Puneet Mishra et al.   JOURNAL OF CHEMOMETRICS

Nondestructive Detection of Internal Flavor in ‘Shatian’ Pomelo Fruit Based on Visible/Near Infrared Spectroscopy

(2021) Sai Xu et al.   HORTSCIENCE

Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy

(2021) Puneet Mishra et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Comparison of locally weighted PLS strategies for regression and discrimination on agronomic NIR data

(2020) Matthieu Lesnoff et al.   JOURNAL OF CHEMOMETRICS

Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content

(2020) Xudong Sun et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

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

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

A “big-data” algorithm for KNN-PLS

(2020) Maxime Metz 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

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

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

(2019) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

Local partial least squares based on global PLS scores

(2019) Guanghui Shen et al.   JOURNAL OF CHEMOMETRICS

Measurement of optical properties of fruits and vegetables: A review

(2019) Renfu Lu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Multivariate calibration of spectroscopic sensors for postharvest quality evaluation: A review

(2019) Wouter Saeys et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Multi-product calibration models using NIR spectroscopy

(2016) M.K.D. Rambo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fruit Quality Evaluation Using Spectroscopy Technology: A Review

(2015) Hailong Wang et al.   SENSORS

Fruit dry matter concentration: a new quality metric for apples

(2010) John W Palmer et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

The impact of dry matter, ripeness and internal defects on consumer perceptions of avocado quality and intentions to purchase

(2010) Joanna Gamble et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY