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

Comparison of variable selection methods in partial least squares regression

(2020) Tahir Mehmood et al.   JOURNAL OF CHEMOMETRICS

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

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

Location, year, and tree age impact NIR-based postharvest prediction of dry matter concentration for 58 apple accessions

(2020) Soon Li Teh et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials

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

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

Non-invasive measurements of ‘Yunhe’ pears by vis-NIRS technology coupled with deviation fusion modeling approach

(2019) Lei-Ming Yuan et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

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

Development of multi-cultivar models for predicting the soluble solid content and firmness of European pear ( Pyrus communis L.) using portable vis–NIR spectroscopy

(2017) Jiahua Wang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Using absorption and reduced scattering coefficients for non-destructive analyses of fruit flesh firmness and soluble solids content in pear ( Pyrus communis ‘Conference’)—An update when using diffusion theory

(2017) Segun Emmanuel Adebayo et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Robust NIRS models for non-destructive prediction of mango internal quality

(2017) Thibault Nordey et al.   SCIENTIA HORTICULTURAE

Assessing firmness and SSC of pears based on absorption and scattering properties using an automatic integrating sphere system from 400 to 1150 nm

(2016) Xueming He et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Robust PLS models for soluble solids content and firmness determination in low chilling peach using near-infrared spectroscopy (NIR)

(2016) Paloma Andrade Martins Nascimento et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Evaluation of sugar content in potatoes using NIR reflectance and wavelength selection techniques

(2015) Ahmed M. Rady et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Fruit Quality Evaluation Using Spectroscopy Technology: A Review

(2015) Hailong Wang et al.   SENSORS

Predicting pear (cv. Clara Frijs) dry matter and soluble solids content with near infrared spectroscopy

(2014) Sylvia Travers et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

A review of variable selection methods in Partial Least Squares Regression

(2012) Tahir Mehmood et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

CovSel: Variable selection for highly multivariate and multi-response calibration

(2010) J.M. Roger et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fruit dry matter concentration: a new quality metric for apples

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

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

Theory and application of near infrared spectroscopy in assessment of fruit quality: a review

(2009) Hongjian Lin et al.   Journal of Food Measurement and Characterization

Effect of fruit moving speed on predicting soluble solids content of ‘Cuiguan’ pears (Pomaceae pyrifolia Nakai cv. Cuiguan) using PLS and LS-SVM regression

(2008) Tong Sun et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY