On-line Vis-Nir sensor determination of soil variations of sodium, potassium and magnesium

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dc.contributor.authorTekin, YĆ¼cel
dc.contributor.authorTumsavas, Zeynal
dc.contributor.authorUlusoy, Yahya
dc.contributor.authorMouazen, Abdul Mounem
dc.date.accessioned2016-12-05T12:05:24Z
dc.date.available2016-12-05T12:05:24Z
dc.date.issued2016-07-26
dc.description.abstractAmong proximal measurement methods, visible and near infrared (Vis-Nir) spectroscopy probably has the greatest potential for determining the physico-chemical properties of different natural resources, including soils. This study was conducted to determine the sodium, potassium and magnesium variations in a 10. Ha field located in Karacabey district (Bursa Province, Turkey) using an on-line Vis-Nir sensor. A total of 92 soil samples were collected from the field. The performance and accuracy of the Na, K and Mg calibration models was evaluated in cross-validation and independent validation. 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 showed that the prediction performance in the validation set was successful, with average R2 values of 0.82 for Na, 0.70 for K, and 0.79 for Mg, average root mean square error of prediction (RMSEP) values of 0.02% (Na), 0.20% (K), and 1.32% (Mg) and average residual prediction deviation (RPD) values of 2.13 (Na), 0.97 (K), and 2.20 (Mg). On-line field measurement was also proven to be successful with validation results showing average R2 values of 0.78 (Na), 0.64 (K), and 0.60 (Mg), average RMSEP values of 0.04% (Na), 0.13% (K), and 2.19% (Mg) and average RPD values of 1.57 (Na) 1.68 (K) and 1.56 (Mg). Based on 3297 points, maps of Na, K and Mg were produced after N, P, K and organic fertilizer applications, and these maps were then compared to the corresponding maps from the previous year. The comparison showed a variation in soil properties that was attributed to the variable rate of fertilization implemented in the preceding year.en_UK
dc.identifier.citationTekin Y., TĆ¼msavaş Z., Ulusoy Y, Mouazen A.M. (2016) On-line Vis-Nir sensor determination of soil variations of sodium, potassium and magnesium, 2nd International Conference on Agricultural and Biological Sciences (ABS2016), Shanghai, China, 23-26 July 2016en_UK
dc.identifier.issn1755-1307
dc.identifier.urihttp://dx.doi.org/10.1088/1755-1315/41/1/012011
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/11080
dc.language.isoenen_UK
dc.publisherIOPen_UK
dc.rightsAttribution 3.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleOn-line Vis-Nir sensor determination of soil variations of sodium, potassium and magnesiumen_UK
dc.typeConference paperen_UK

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