相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach
Puneet Mishra et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2021)
SO-CovSel: A novel method for variable selection in a multiblock framework
Alessandra Biancolillo et al.
JOURNAL OF CHEMOMETRICS (2020)
VSN: Variable sorting for normalization
Gilles Rabatel et al.
JOURNAL OF CHEMOMETRICS (2020)
Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices
Patrizia Firmani et al.
FOOD CHEMISTRY (2020)
Separating common (global and local) and distinct variation in multiple mixed types data sets
Yipeng Song et al.
JOURNAL OF CHEMOMETRICS (2020)
Measurement of optical properties of fruits and vegetables: A review
Renfu Lu et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
Non-invasive measurements of 'Yunhe' pears by vis-NIRS technology coupled with deviation fusion modeling approach
Lei-Ming Yuan et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
Assessment of avocado fruit dry matter content using portable near infrared spectroscopy: Method and instrumentation optimisation
Phul P. Subedi et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content
Xudong Sun et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
NIRS prediction of dry matter content of single olive fruit with consideration of variable sorting for normalisation pre-treatment
Xudong Sun et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
The uses of near infra-red spectroscopy in postharvest decision support: A review
K. B. Walsh et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing
Puneet Mishra et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)
Non-destructive measurement of internal browning in mangoes using visible and near-infrared spectroscopy supported by artificial neural network analysis
Suzan H. E. J. Gabriels et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
Information fusion of emerging non-destructive analytical techniques for food quality authentication: A survey
Lei Zhou et al.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2020)
Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit
Puneet Mishra et al.
INFRARED PHYSICS & TECHNOLOGY (2020)
Visible-NIR 'point' spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
Kerry B. Walsh et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials
Puneet Mishra et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
Two standard-free approaches to correct for external influences on near-infrared spectra to make models widely applicable
Puneet Mishra et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches
Puneet Mishra et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
New data preprocessing trends based on ensemble of multiple preprocessing techniques
Puneet Mishra et al.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2020)
Improved prediction of 'Kent' mango firmness during ripening by near-infrared spectroscopy supported by interval partial least square regression
Puneet Mishra et al.
INFRARED PHYSICS & TECHNOLOGY (2020)
Information fusion of hyperspectral imaging and electronic nose for evaluation of fungal contamination in strawberries during decay
Qiang Liu et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2019)
Common and distinct variation in data fusion of designed experimental data
Masoumeh Alinaghi et al.
METABOLOMICS (2019)
Multivariate calibration of spectroscopic sensors for postharvest quality evaluation: A review
Wouter Saeys et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2019)
Development of deep learning method for predicting firmness and soluble solid content of postharvest Korla fragrant pear using Vis/NIR hyperspectral reflectance imaging
Xinjie Yu et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2018)
Least squares support vector machine regression combined with Monte Carlo simulation based on the spatial frequency domain imaging for the detection of optical properties of pear
Xueming He et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2018)
Common and distinct components in data fusion
Age K. Smilde et al.
JOURNAL OF CHEMOMETRICS (2017)
Development of multi-cultivar models for predicting the soluble solid content and firmness of European pear (Pyrus communis L.) using portable vis-NIR spectroscopy
Jiahua Wang et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2017)
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
Segun Emmanuel Adebayo et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2017)
Close range hyperspectral imaging of plants: A review
Puneet Mishra et al.
BIOSYSTEMS ENGINEERING (2017)
Combining SO-PLS and linear discriminant analysis for multi-block classification
Alessandra Biancolillo et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)
Data-fusion for multiplatform characterization of an italian craft beer aimed at its authentication
Alessandra Biancolillo et al.
ANALYTICA CHIMICA ACTA (2014)
Predicting pear (cv. Clara Frijs) dry matter and soluble solids content with near infrared spectroscopy
Sylvia Travers et al.
LWT-FOOD SCIENCE AND TECHNOLOGY (2014)
A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry
Claudia A. Teixeira dos Santos et al.
APPLIED SPECTROSCOPY (2013)
Comparison and fusion of four nondestructive sensors for predicting apple fruit firmness and soluble solids content
Fernando Mendoza et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2012)
CovSel: Variable selection for highly multivariate and multi-response calibration Application to IR spectroscopy
J. M. Roger et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2011)
Effect of fruit moving speed on predicting soluble solids content of 'Cuiguan' pears (Pomaceae pyrifolia Nakai cv. Cuiguan) using PLS and LS-SVM regression
Tong Sun et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2009)
'Rocha' pear firmness predicted by a Vis/NIR segmented model
Ana M. Cavaco et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2009)
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy:: A review
Bart M. Nicolai et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2007)
Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment
J Lammertyn et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2000)
分享论文
