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Title: | Potential of on-line visible and near infrared spectroscopy for measurement of pH for deriving variable rate lime recommendations |
Authors: | Kuang, Boyan Mouazen, Abdul M. Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu. Tekin, Yücel J-3560-2012 15064756600 |
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 |
Issue Date: | 31-Jul-2013 |
Publisher: | MDPI |
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. |
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. |
URI: | https://doi.org/10.3390/s130810177 https://www.mdpi.com/1424-8220/13/8/10177 http://hdl.handle.net/11452/29470 |
ISSN: | 1424-8220 |
Appears in Collections: | Scopus Web of Science |
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