نتایج جستجو برای: plsr

تعداد نتایج: 656  

2007
Bjørn-Helge Mevik Ron Wehrens

The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Development Core Team 2006b), and is freely available from the Comprehensive R Archive Network (CRAN), licensed under the GNU General Public License (GPL). The user interface is modelled after the traditional formula interface, as exemplified by lm. This was done so that people us...

2012
Shawn P. Serbin Dylan N. Dillaway Eric L. Kruger Philip A. Townsend

Researchers from a number of disciplines have long sought the ability to estimate the functional attributes of plant canopies, such as photosynthetic capacity, using remotely sensed data. To date, however, this goal has not been fully realized. In this study, fresh-leaf reflectance spectroscopy (λ=450-2500 nm) and a partial least-squares regression (PLSR) analysis were used to estimate key dete...

2017
Lulu Gao Xicun Zhu Cheng Li Lizhen Cheng

The new-shoot-growing stage is an important period of apple tree nutrition distribution. The objective of this study is to provide technical support for apple tree nutrition diagnosis by constructing quantitative evaluation models between the apple leaf nitrogen content during the new-shoot-growing stage and characteristic spectral parameters. The correlation coefficients between the original s...

2017
Juan He Yong He

Sulfur-fumigated Chinese medicine is a common issue in the process of Chinese medicines. Detection of sulfur dioxide (SO2) residual content in Fritillaria thunbergii Bulbus is important to evaluate the degree of sulfur fumigation and its harms. It helps to control the use of sulfur fumigation in Fritillaria thunbergii Bulbus. Near-infrared hyperspectral imaging (NIR-HSI) was explored as a rapid...

2014
Wenjiang Huang Qinying Yang Ruiliang Pu Shaoyuan Yang

Timely measurement of vertical foliage nitrogen distribution is critical for increasing crop yield and reducing environmental impact. In this study, a novel method with partial least square regression (PLSR) and vegetation indices was developed to determine optimal models for extracting vertical foliage nitrogen distribution of winter wheat by using bi-directional reflectance distribution funct...

2017
Wenbin Liu Bingyang Zhang Zhongquan Xin Dabing Ren Lunzhao Yi

This present study aims to identify the key bioactive components in acorus tatarinowii rhizoma (ATR), a traditional Chinese medicine (TCM) with various bioactivities. Partial least squares regression (PLSR) was employed to describe the relationship between the radical scavenging activity and the volatile components. The PLSR model was improved by outlier elimination and variable selection and w...

2014
Tetyana Beltramo Susanne Theuerl Michael Klocke Bernd Hitzmann

Biogas production rate is an important criterion for the entire biogas production process. In the present study the biogas production rate was evaluated using more than 30 process variables measured at an agricultural biogas plant in Germany during two months. The measured variables include the chemical measurements (such as pH, dried matter, amount of organic acids), energy supply specificatio...

2016
Bjørn-Helge Mevik Ron Wehrens

The pls package implements Principal Component Regression (PCR) and Partial Least Squares Regression (PLSR) in R, and is freely available from the CRAN website, licensed under the Gnu General Public License (GPL). The user interface is modelled after the traditional formula interface, as exemplified by lm. This was done so that people used to R would not have to learn yet another interface, and...

Journal: :Remote Sensing 2015
Lu Xu Quan Wang

Timely information of soil water content is urgently required for monitoring ecosystem processes and functions at various scales. Although remote sensing has already provided many practical applications of retrieving soil moisture, it is largely limited to visible/near infrared or microwave domains and few studies have ever been conducted on the thermal infrared. In addition, soil salinization ...

2005
Rolf Sundberg

In multivariate calibration by for example ordinary least squares (OLS) multiple regression or by partial least squares regression (PLSR) the predictor ŷ(x) is perfect for the calibration sample itself, in the sense that the regression of observed y on predicted ŷ(x) is y = ŷ(x). Plots of y against ŷ(x) are much used to illustrate how good the calibration is and how well prediction works. Usual...

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