Paper Title:

Prediction of Soil TN and TC at a Farm-Scale Using VIS-NIR Spectroscopy

Periodical Advanced Materials Research (Volumes 225 - 226)
Main Theme Advanced Research on Automation, Communication, Architectonics and Materials
Edited by Helen Zhang, Gang Shen and David Jin
Pages 1258-1261
DOI 10.4028/
Citation Hai Qing Yang et al., 2011, Advanced Materials Research, 225-226, 1258
Online since April, 2011
Authors Hai Qing Yang, Bo Yan Kuang, Abdul M. Mouazen
Keywords Farm-Scale, Near-Infrared (NIR) Spectroscopy, Soil Carbon, Soil Nitrogen, Visible Infrared Spectroscopy
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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.

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