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

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

(2020) Zhou xin et al.   FOOD CHEMISTRY

Noise reduction in the spectral domain of hyperspectral images using denoising autoencoder methods

(2020) Chu Zhang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

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

Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging

(2020) Chu Zhang et al.   FOOD CHEMISTRY

Combination of Convolutional Neural Networks and Recurrent Neural Networks for predicting soil properties using Vis–NIR spectroscopy

(2020) Jiechao Yang et al.   GEODERMA

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

(2019) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill

(2019) Bingxin Liu et al.   ISPRS International Journal of Geo-Information

End‐to‐end quantitative analysis modeling of near‐infrared spectroscopy based on convolutional neural network

(2019) Yuan‐Yuan Chen et al.   JOURNAL OF CHEMOMETRICS

An overview of variable selection methods in multivariate analysis of near-infrared spectra

(2019) Yong-Huan Yun et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images

(2019) Majid Seydgar et al.   Remote Sensing

Spectral-Spatial Attention Networks for Hyperspectral Image Classification

(2019) Xiaoguang Mei et al.   Remote Sensing

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

(2019) Jie Yang et al.   ANALYTICA CHIMICA ACTA

On the utilization of deep and ensemble learning to detect milk adulteration

(2019) Habib Asseiss Neto et al.   BioData Mining

Identifying Freshness of Spinach Leaves Stored at Different Temperatures Using Hyperspectral Imaging

(2019) Zhu et al.   Foods

Estimation of soil properties from the EU spectral library using long short-term memory networks

(2019) Simranjit Singh et al.   Geoderma Regional

Classification of cow milk using artificial neural network developed from the spectral data of single- and three-detector spectrophotometers

(2019) Shima Behkami et al.   FOOD CHEMISTRY

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

(2019) Wartini Ng et al.   GEODERMA

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

Classification of hybrid seeds using near-infrared hyperspectral imaging technology combined with deep learning

(2019) Pengcheng Nie et al.   SENSORS AND ACTUATORS B-CHEMICAL

Convolutional neural network for hyperspectral data analysis and effective wavelengths selection

(2019) Yisen Liu et al.   ANALYTICA CHIMICA ACTA

Identification of turkey meat and processed products using near infrared spectroscopy

(2019) Douglas Fernandes Barbin et al.   FOOD CONTROL

Non-destructive determination of soluble solids content using a multi-region combination model in hybrid citrus

(2019) Yongjie Li et al.   INFRARED PHYSICS & TECHNOLOGY

Single‐layer multiple‐kernel‐based convolutional neural network for biological Raman spectral analysis

(2019) Won Bum Sohn et al.   JOURNAL OF RAMAN SPECTROSCOPY

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape ( Brassica napus L. ) leaf

(2018) Xinjie Yu 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

Optimal sample selection for measurement of soil organic carbon using on-line vis-NIR spectroscopy

(2018) Said Nawar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Optimization of rice amylose determination by NIR-spectroscopy using PLS chemometrics algorithms

(2018) Pedro Sousa Sampaio et al.   FOOD CHEMISTRY

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

Validation of short wave near infrared calibration models for the quality and ripening of ‘Newhall’ orange on tree across years and orchards

(2018) Ana M. Cavaco et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Robustness improvement of NIR-based determination of soluble solids in apple fruit by local calibration

(2018) Xuan Luo et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Calibration transfer of a Raman spectroscopic quantification method for the assessment of liquid detergent compositions from at-line laboratory to in-line industrial scale

(2018) D. Brouckaert et al.   TALANTA

Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

(2018) Zhengjun Qiu et al.   Applied Sciences-Basel

Transfer Learning for Soil Spectroscopy Based on Convolutional Neural Networks and Its Application in Soil Clay Content Mapping Using Hyperspectral Imagery

(2018) Lanfa Liu et al.   SENSORS

Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network

(2018) Na Wu et al.   MOLECULES

Variable weighted convolutional neural network for the nitrogen content quantization of Masson pine seedling leaves with near-infrared spectroscopy

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

Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review

(2018) Sylvie Bureau et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

A deep learning based feature extraction method on hyperspectral images for nondestructive prediction of TVB-N content in Pacific white shrimp (Litopenaeus vannamei)

(2018) Xinjie Yu et al.   BIOSYSTEMS ENGINEERING

Feasibility study of smartphone-based Near Infrared Spectroscopy (NIRS) for salted minced meat composition diagnostics at different temperatures

(2018) Andreas Kartakoullis et al.   FOOD CHEMISTRY

Development of new NIR-spectroscopy method combined with multivariate analysis for detection of adulteration in camel milk with goat milk

(2017) Fazal Mabood et al.   FOOD CHEMISTRY

NIRS feature extraction based on deep auto-encoder neural network

(2017) Ting Liu et al.   INFRARED PHYSICS & TECHNOLOGY

One-dimensional convolutional neural networks for spectroscopic signal regression

(2017) Salim Malek et al.   JOURNAL OF CHEMOMETRICS

Prediction of the level of astringency in persimmon using visible and near-infrared spectroscopy

(2017) Victoria Cortés et al.   JOURNAL OF FOOD ENGINEERING

Reference-free spectroscopic determination of fat and protein in milk in the visible and near infrared region below 1000 nm using spatially resolved diffuse reflectance fiber probe

(2017) Andrey Bogomolov et al.   TALANTA

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

Calibration transfer via an extreme learning machine auto-encoder

(2016) Wo-Ruo Chen et al.   ANALYST

Effect of spectrum measurement position variation on the robustness of NIR spectroscopy models for soluble solids content of apple

(2016) Shuxiang Fan et al.   BIOSYSTEMS ENGINEERING

Optimization of NIR calibration models for multiple processes in the sugar industry

(2016) Iván Ramírez-Morales et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Identification and quantification of turkey meat adulteration in fresh, frozen-thawed and cooked minced beef by FT-NIR spectroscopy and chemometrics

(2016) Cristina Alamprese et al.   MEAT SCIENCE

Calibration transfer employing univariate correction and robust regression

(2015) Roberto Kawakami Harrop Galvão et al.   ANALYTICA CHIMICA ACTA

Deep learning

(2015) Yann LeCun et al.   NATURE

Fruit Quality Evaluation Using Spectroscopy Technology: A Review

(2015) Hailong Wang et al.   SENSORS

Rapid determination of major bioactive isoflavonoid compounds during the extraction process of kudzu (Pueraria lobata) by near-infrared transmission spectroscopy

(2015) Pei Wang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Multilevel analysis of temperature dependent near-infrared spectra

(2015) Ruifeng Shan et al.   TALANTA

Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring

(2015) Mohammad Goodarzi et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

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

Assessing the temperature influence on the soluble solids content of watermelon juice as measured by visible and near-infrared spectroscopy and chemometrics

(2013) Yang Yao et al.   JOURNAL OF FOOD ENGINEERING

Breaking with trends in pre-processing?

(2013) Jasper Engel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Testing of a local approach for the prediction of quality parameters in intact nectarines using a portable NIRS instrument

(2011) María-Teresa Sánchez et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

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