Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review

V Cortés, J Blasco, N Aleixos, S Cubero… - Trends in Food Science & …, 2019 - Elsevier
Background The increasing demand for quality assurance in agro-food production requires
sophisticated analytical methods for in-line quality control. One of these techniques is visible …

Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review

E Arendse, OA Fawole, LS Magwaza… - Journal of Food …, 2018 - Elsevier
Fruits with thick rind have been reported to interfere with the measurement of internal quality
of non-destructive near infrared spectroscopy. This review provides an overview of issues …

Distance-based support vector machine to predict DNA N6-methyladenine modification

H Zhang, Q Zou, Y Ju, C Song, D Chen - Current Bioinformatics, 2022 - ingentaconnect.com
Background: DNA N6-methyladenine plays an important role in the restriction-modification
system to isolate invasion from adventive DNA. The shortcomings of the high time …

Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review

BM Nicolai, K Beullens, E Bobelyn, A Peirs… - Postharvest biology and …, 2007 - Elsevier
An overview is given of near infrared (NIR) spectroscopy for use in measuring quality
attributes of horticultural produce. Different spectrophotometer designs and measurement …

One‐dimensional convolutional neural networks for spectroscopic signal regression

S Malek, F Melgani, Y Bazi - Journal of Chemometrics, 2018 - Wiley Online Library
This paper proposes a novel approach for driving chemometric analyses from spectroscopic
data and based on a convolutional neural network (CNN) architecture. For such purpose …

NIR spectroscopy applications for internal and external quality analysis of citrus fruit—a review

LS Magwaza, UL Opara, H Nieuwoudt… - Food and Bioprocess …, 2012 - Springer
The global citrus industry is continually confronted by new technological challenges to meet
the ever-increasing consumer awareness and demand for quality-assured fruit. To face …

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

W Saeys, NN Do Trong, R Van Beers… - Postharvest Biology and …, 2019 - Elsevier
Vibrational spectroscopy methods are widely investigated as fast and non-destructive
alternatives for postharvest quality evaluation. As these methods measure spectral …

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

E Bobelyn, AS Serban, M Nicu, J Lammertyn… - Postharvest biology and …, 2010 - Elsevier
The effect of cultivar, season, shelf-life and origin on the accuracy of near infrared (NIR)
calibration models for the soluble solids content (SSC) and firmness of apple was studied …

Essential processing methods of hyperspectral images of agricultural and food products

B Jia, W Wang, X Ni, KC Lawrence, H Zhuang… - Chemometrics and …, 2020 - Elsevier
Hyperspectral images integrate spatial and spectral details together. They can provide
valuable information about both external physical and internal chemical characteristics of …

Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality

D Cozzolino, WU Cynkar, N Shah, P Smith - Food Research International, 2011 - Elsevier
The goal of building a multivariate calibration model is to predict a chemical or physical
property from a set of predictor variables, for example the analysis of sugar concentration in …