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Please use this identifier to cite or link to this item: http://dspace.lib.cranfield.ac.uk/handle/1826/7285

Document Type: Article
Title: Prediction of soil TN and TC at a farm-scale using VIS-NIR spectroscopy
Authors: Yang, Haiqing Q.
Kuang, Boyan Y.
Mouazen, Abdul Mounem
Issue Date: 2011
Citation: Haiqing Yang, Boyan Kuang, Abdul M. Mouazen. Prediction of soil TN and TC at a farm-scale using VIS-NIR spectroscopy. Advanced Materials Research, 2011, Volume 225-226, Issue 1-2, pp1258-1261.
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.
URI: http://dx.doi.org/10.4028/www.scientific.net/AMR.225-226.1258
http://dspace.lib.cranfield.ac.uk/handle/1826/7285
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