4.5 Article

Assessment of a soil fertility index using visible and near-infrared spectroscopy in the rice paddy region of southern China

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。
Article Soil Science

Development of biological soil quality indicator system for subtropical China

Ping Li et al.

SOIL & TILLAGE RESEARCH (2013)

Article Soil Science

Comparison of Three Methods for Soil Fertility Quality Spatial Simulation with Uncertainty Assessment

Mingkai Qu et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2013)

Article Soil Science

Predicting soil properties from the Australian soil visible-near infrared spectroscopic database

R. A. Viscarra Rossel et al.

EUROPEAN JOURNAL OF SOIL SCIENCE (2012)

Article Soil Science

Using data mining to model and interpret soil diffuse reflectance spectra

R. A. Viscarra Rossel et al.

GEODERMA (2010)

Article Soil Science

Spatial Modeling of a Soil Fertility Index using Visible-Near-Infrared Spectra and Terrain Attributes

R. A. Viscarra Rossel et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2010)

Article Environmental Sciences

Predicting soil quality indices with near infrared analysis in a wildfire chronosequence

Lauric Cecillon et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2009)

Article Chemistry, Applied

Robust modelling of soil diffuse reflectance spectra by bagging-partial least squares regression

R. A. Viscarra Rossel

JOURNAL OF NEAR INFRARED SPECTROSCOPY (2007)

Article Soil Science

On-line measurement of some selected soil properties using a VIS-NIR sensor

A. M. Mouazen et al.

SOIL & TILLAGE RESEARCH (2007)

Article Environmental Sciences

Visible-near infrared reflectance spectroscopy for rapid, nondestructive assessment of wetland soil quality

MJ Cohen et al.

JOURNAL OF ENVIRONMENTAL QUALITY (2005)

Article Soil Science

Restoration of surface soil fertility of an eroded red soil in southern China

MK Zhang et al.

SOIL & TILLAGE RESEARCH (2005)

Article Automation & Control Systems

PLS-regression:: a basic tool of chemometrics

S Wold et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)