Paper Title:
Prediction of Soil TN and TC at a Farm-Scale Using VIS-NIR Spectroscopy
  Abstract

Building cost-effective models is of academic and practical value for fast measurement of soil properties, especially at a farm-scale. The aim of this study is to build quantitative models for soil total nitrogen (TN) and total carbon (TC) using visible and near infrared (VIS-NIR) spectroscopy. Dried samples (n=122) collected from an experimental farm, at Silsoe, Bedfordshire, United Kingdom, were scanned from 350 to 2500 nm at 1-nm intervals. Samples were divided into a calibration set (75%) and an independent validation set (25%). A partial least squares regression (PLSR) with leave-one-out cross validation was carried out based on different spectral ranges. Result shows that the best predictions (R2>0.90 and RPD>3.3) are achieved for TN using the VIS range (400-700nm) and for TC using the VIS-NIR range (400-2500nm). It is concluded that VIS-NIR spectroscopy coupled with PLSR can be adopted for the prediction of soil TN and TC at a farm-scale.

  Info
Periodical
Advanced Materials Research (Volumes 225-226)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1258-1261
DOI
10.4028/www.scientific.net/AMR.225-226.1258
Citation
H. Q. Yang, B. Y. Kuang, A. M. Mouazen, "Prediction of Soil TN and TC at a Farm-Scale Using VIS-NIR Spectroscopy", Advanced Materials Research, Vols 225-226, pp. 1258-1261, Apr. 2011
Online since
April 2011
Price
US$ 28,-
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