Paper Title :Determination of Soil Organic Carbon Variation With on-Line Vis-NIR Sensor
Author :Yucel Tekin, Yahya Ulusoy, Zeynal Tumsavas, Abdul M. Mouazen
Article Citation :Yucel Tekin ,Yahya Ulusoy ,Zeynal Tumsavas ,Abdul M. Mouazen ,
(2017 ) " Determination of Soil Organic Carbon Variation With on-Line Vis-NIR Sensor " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 22-26,
Volume-5,Issue-1, Spl. Iss-1
Abstract : Vis-NIR spectroscopy was reported by many researchers confirming the possibility of successful measurement
of soil organic carbon (SOC) which was attributed to the direct spectral response of carbon in the NIR range. In this
research, SOC variability was measured in two copping season with an on-line vis-NIR sensor in a field with a clay soil, 10
ha area in Karacabey Farm in Bursa, Turkey.The performance and accuracy of the SOC calibration model was evaluated in
cross-validation after partial least squares regression (PLSR) and independent validation.Model performance was evaluated
by means of coefficient of determination (R2
), root mean square error of prediction (RMSEP) and ratio of prediction
deviation (RPD). Three categories of SOC maps were developed: Three categories of maps were developed: 1) reference
laboratory analyses maps based on 92 points 2) Full-data point maps based on all 6486 on-line points Vis-NIR predicted in
2013 and 3) full-data point maps based on all 2496 on-line points Vis-NIR predicted in 2015.Results show that SOC
calibration model in cross-validation results is fairly accurate (R2
= 0.75, RMSEP = 0.17 % and RPD=1.81). According to
the classification of RPD values, the performance of the SOC in cross-validation is classified as good. Based on 3297 points
map shows the variation of the SOC at high sampling resolution. According to the SOC level of the field, 80 ton/Ha manure
has been applied to the field. A year later the manure influence on SOC was measured with the on-line vis-NIR soil sensor.
Keywords— On-line soil sensor, Proximal soil sensing, Soil organic carbon, Vis-NIR spectroscopy.
Type : Research paper
Published : Volume-5,Issue-1, Spl. Iss-1
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-6678
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Published on 2017-03-03 |
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