A comparison of non-linear regression methods for improved on-line near infrared spectroscopic analysis of a sugarcane quality measure

Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning

(2018) Kyle Loggenberg et al.   Remote Sensing

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

Tutorial: Items to be included in a report on a near infrared spectroscopy project

(2017) Phil Williams et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Comparison between Random Forests, Artificial Neural Networks and Gradient Boosted Machines Methods of On-Line Vis-NIR Spectroscopy Measurements of Soil Total Nitrogen and Total Carbon

(2017) Said Nawar et al.   SENSORS

Variable selection using support vector regression and random forests: A comparative study

(2016) Anis Ben Ishak   Intelligent Data Analysis

Application of Support Vector Regression for Simultaneous Modelling of near Infrared Spectra from Multiple Process Steps

(2015) Rikke Tange et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Multi-method ensemble selection of spectral bands related to leaf biochemistry

(2015) Hannes Feilhauer et al.   REMOTE SENSING OF ENVIRONMENT

Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques

(2014) S. R. Araújo et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Non-linear calibration models for near infrared spectroscopy

(2013) Wangdong Ni et al.   ANALYTICA CHIMICA ACTA

Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared

(2013) Nazmi Mat Nawi et al.   BIOSYSTEMS ENGINEERING

A review of variable selection methods in Partial Least Squares Regression

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

Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data

(2011) Roman M. Balabin et al.   ANALYST

Comparison of various chemometric approaches for large near infrared spectroscopic data of feed and feed products

(2011) J.A. Fernández Pierna et al.   ANALYTICA CHIMICA ACTA

Gasoline classification using near infrared (NIR) spectroscopy data: Comparison of multivariate techniques

(2010) Roman M. Balabin et al.   ANALYTICA CHIMICA ACTA

A Tutorial on Near Infrared Spectroscopy and Its Calibration

(2010) Lidia Esteve Agelet et al.   CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY

Using data mining to model and interpret soil diffuse reflectance spectra

(2010) R.A. Viscarra Rossel et al.   GEODERMA