Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content. II. Local PLS and nonlinear models

Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

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

Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content

(2020) N.T. Anderson et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Local partial least squares based on global PLS scores

(2019) Guanghui Shen et al.   JOURNAL OF CHEMOMETRICS

A note on Mahalanobis and related distance measures in WinISI and The Unscrambler

(2019) A Garrido-Varo et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

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

(2019) Wouter Saeys et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Comparison of partial least squares regression, least squares support vector machines, and Gaussian process regression for a near infrared calibration

(2017) Chenhao Cui et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets

(2013) Leonardo Ramirez-Lopez et al.   GEODERMA

Prediction of Brix Values of Intact Peaches with Least Squares-Support Vector Machine Regression Models

(2012) Mihail I. Mukarev et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Improved Calibration of Near-Infrared Spectra by Using Ensembles of Neural Network Models

(2010) Abhisek Ukil et al.   IEEE SENSORS JOURNAL

Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy

(2008) Budiman Minasny et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS