Potential of on-line visible and near infrared spectroscopy for measurement of pH for deriving variable rate lime recommendations

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Date

2013-07-31

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Publisher

MDPI

Abstract

This paper aims at exploring the potential of visible and near infrared (vis-NIR) spectroscopy for on-line measurement of soil pH, with the intention to produce variable rate lime recommendation maps. An on-line vis-NIR soil sensor set up to a frame was used in this study. Lime application maps, based on pH predicted by vis-NIR techniques, were compared with maps based on traditional lab-measured pH. The validation of the calibration model using off-line spectra provided excellent prediction accuracy of pH (R-2 = 0.85, RMSEP = 0.18 and RPD = 2.52), as compared to very good accuracy obtained with the on-line measured spectra (R-2 = 0.81, RMSEP = 0.20 and RPD = 2.14). On-line predicted pH of all points (e.g., 2,160) resulted in the largest overall field virtual lime requirement (1.404 t), as compared to those obtained with 16 validation points off-line prediction (0.28 t), on-line prediction (0.14 t) and laboratory reference measurement (0.48 t). The conclusion is that the vis-NIR spectroscopy can be successfully used for the prediction of soil pH and for deriving lime recommendations. The advantage of the on-line sensor over sampling with limited number of samples is that more detailed information about pH can be obtained, which is the reason for a higher but precise calculated lime recommendation rate.

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Keywords

Chemistry, Engineering, Instruments & ınstrumentation, On-line soil sensor, Vis-NIR spectroscopy, Soil pH, Lime recommendation map, Soil, Sensor, Calibration, Forecasting, Lime, Near infrared spectroscopy, Social networking (online), Soils, On-line measurement, Prediction accuracy, Reference measurements, Soil sensors, Vis-NIR spectroscopy, Visible and near infrared, Visible and near-infrared spectroscopy, Infrared devices

Citation

Tekin, Y. vd. (2013). "Potential of on-line visible and near infrared spectroscopy for measurement of pH for deriving variable rate lime recommendations". Sensors, 13(8), 10177-10190.