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.