Non-destructive prediction of internal and external quality attributes of fruit with thick rind: a review, J. Food Eng, vol.217, pp.11-23, 2018. ,
The use of near-infrared spectrometry in the olive oil industry, Crit. Rev. Food Sci. Nutr, vol.50, issue.6, pp.567-582, 2010. ,
Multi-block SO-PLS approach based on infrared spectroscopy for anaerobic digestion process monitoring, Chemom. Intell. Lab. Syst, vol.196, p.103905, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02610133
Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra, Appl. Spectrosc, vol.43, issue.5, pp.772-777, 1989. ,
A local pre-processing method for near-infrared spectra, combined with spectral segmentation and standard normal variate transformation, Anal. Chim. Acta, vol.909, pp.30-40, 2016. ,
A selective ensemble preprocessing strategy for near-infrared spectral quantitative analysis of complex samples, Chemom. Intell. Lab. Syst, vol.197, p.103916, 2020. ,
Variable selection in multiblock regression, Chemom. Intell. Lab. Syst, vol.156, pp.89-101, 2016. ,
Extension of SO-PLS to multi-way arrays: SO-N-PLS, Chemom. Intell. Lab. Syst, vol.164, pp.113-126, 2017. ,
Chapter 6 -the sequential and orthogonalized PLS regression for multiblock regression: theory, examples, and extensions. Data Handling in Science and Technology 31, pp.157-177, 2019. ,
Application of ATR-FTIR for a rapid and simultaneous determination of sugars and organic acids in apricot fruit, Food Chem, vol.115, issue.3, pp.1133-1140, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-02666634
Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics, Anal. Chem, vol.78, issue.13, pp.4281-4290, 2006. ,
Breaking with trends in pre-processing?, TrAC Trends Anal. Chem, vol.50, pp.96-106, 2013. ,
Multiblock classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices, Food Chem, vol.309, p.125677, 2020. ,
Geographic origins and compositions of virgin olive oils determinated by chemometric analysis of NIR spectra, Anal. Chim. Acta, vol.595, issue.1, pp.136-144, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-01493412
Simple and effective way for data preprocessing, 2015. ,
Regression vector from, multiplicative scatter correction (MSC) (solid red), standard normal variate (SNV) (dotted blue) and 2nd derivative (solid green) preprocessed blocks of the apricot dataset, vol.10 ,
, Postharvest Biology and Technology, vol.168, p.111271, 2020.
, selection based on design of experiments, Anal. Chem, vol.87, issue.24, pp.12096-12103
Chemometric applications to assess quality and critical parameters of virgin and extra-virgin olive oil. A review, Anal. Chim. Acta, vol.913, pp.1-21, 2016. ,
The robust normal variate transform for pattern recognition with near-infrared data, Anal. Chim. Acta, vol.382, issue.1, pp.87-103, 1999. ,
The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy, Appl. Spectrosc, vol.42, issue.7, pp.1273-1284, 1988. ,
Non-invasive analytical technology for the detection of contamination, adulteration, and authenticity of meat, poultry, and fish: a review, Anal. Chim. Acta, vol.853, pp.19-29, 2015. ,
Computer aided design of experiments, Technometrics, vol.11, issue.1, pp.137-148, 1969. ,
Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment, Postharvest Biol. Technol, vol.18, issue.2, pp.121-132, 2000. ,
Measurement of optical properties of fruits and vegetables: a review, Postharvest Biol. Technol, vol.159, p.111003, 2020. ,
Performance of methods that separate common and distinct variation in multiple data blocks, J. Chemom, vol.33, issue.1, p.3085, 2019. ,
Light scattering and light absorbance separated by extended multiplicative signal correction. Application to near-infrared transmission analysis of powder mixtures, Anal. Chem, vol.75, issue.3, pp.394-404, 2003. ,
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review, Postharvest Biol. Technol, vol.46, issue.2, pp.99-118, 2007. ,
Application of sequential and orthogonalised-partial least squares (SO-PLS) regression to predict sensory properties of Cabernet Sauvignon wines from grape chemical composition, Food Chem, vol.256, pp.195-202, 2018. ,
Near-Infrared Spectroscopy in Food Analysis. Encyclopedia of Analytical Chemistry, 2006. ,
Near infrared spectroscopy: a mature analytical technique with new perspectives -a review, Anal. Chim. Acta, vol.1026, pp.8-36, 2018. ,
VSN: variable sorting for normalization, J. Chemom, vol.34, issue.2, p.3164, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02609665
Review of the most common pre-processing techniques for near-infrared spectra, TrAC Trends Anal. Chem, vol.28, issue.10, pp.1201-1222, 2009. ,
EPO-PLS external parameter orthogonalisation of PLS application to temperature-independent measurement of sugar content of intact fruits, Chemom. Intell. Lab. Syst, vol.66, issue.2, pp.191-204, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-00464022
Sequential preprocessing through ORThogonalization (SPORT) and its application to near infrared spectroscopy, Chemom. Intell. Lab. Syst, vol.199, p.103975, 2020. ,
Pre-processing methods?. Reference Module in Chemistry, Molecular Sciences and Chemical Engineering, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02586307
Multivariate calibration of spectroscopic sensors for postharvest quality evaluation: a review, Postharvest Biol. Technol, vol.158, 2019. ,
Prediction of the fatty acid composition of beef by near infrared transmittance spectroscopy, Meat Sci, vol.78, issue.3, pp.248-255, 2008. ,
NIRS prediction of dry matter content of single olive fruit with consideration of variable sorting for normalisation pretreatment, Postharvest Biol. Technol, vol.31, issue.7, p.111140, 2017. ,
The uses of near infra-red spectroscopy in postharvest decision support: a review, Postharvest Biol. Technol, vol.163, p.111139, 2020. ,
Fruit quality evaluation using spectroscopy technology: a review, Sensors, vol.15, issue.5, pp.11889-11927, 2015. ,
Ensemble preprocessing of near-infrared (NIR) spectra for multivariate calibration, Anal. Chim. Acta, vol.616, issue.2, pp.138-143, 2008. ,
, Postharvest Biology and Technology, vol.168, p.111271, 2020.