Comparison of Cubist models for soil organic carbon prediction via portable XRF measured data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85811" target="_blank" >RIV/60460709:41210/21:85811 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007/s10661-021-08946-x.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/s10661-021-08946-x.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10661-021-08946-x" target="_blank" >10.1007/s10661-021-08946-x</a>

Result language
angličtina
Original language name
Comparison of Cubist models for soil organic carbon prediction via portable XRF measured data
Original language description
Soil organic carbon SOC tends to form complexes with most metallic ions within the soil system. Relatively few studies compare SOC predictions via portable Xray fluorescence pXRF measured data coupled with the Cubist algorithm. The current study applied three different Cubist models to estimate SOC while using several pXRF measured data. Soil samples were collected from the Litavka floodplain area during two separate sampling campaigns in 2018. Thirteen pXRF data or predictors (K, Ca, Rb, Mn, Fe, As, Ba, Th, Pb, Sr, Ti, Zr, and Zn) were selected to develop the proposed models. Validation and comparison of the models applied the mean absolute error (MAE), root mean square error (RMSE), and coefficient o determination (R2). The results revealed that Cubist 1, utilizing all the predictors yielded the best model outcome (MAE = 0,51, RMSE = 0,68, R2 = 0,78) followed by Cubist 2, using predictors with relatively high importance (VarImp. predictors) (MAE = 0,64, RMSE = 0,82, R2 = 0,68), and lastly Cubist 3
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
40104 - Soil science

Project
<a href="/en/project/EF16_019%2F0000845" target="_blank" >EF16_019/0000845: Centre for investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of athropogenic origin: assessment of contamination risks for the quality of production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)