Search Results - "Ghebleh Goydaragh, Maryam"

Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping by Taghizadeh-Mehrjardi, Ruhollah, Hamzehpour, Nikou, Hassanzadeh, Maryam, Heung, Brandon, Ghebleh Goydaragh, Maryam, Schmidt, Karsten, Scholten, Thomas

“…•The super learner is promising approach for Digital Soil Mapping.•Super learner increased accuracy by up to ~46%, compared to base learners.•Permutation…”
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Predicting weathering indices in soils using FTIR spectra and random forest models by Ghebleh Goydaragh, Maryam, Taghizadeh-Mehrjardi, Ruhollah, Golchin, Ahmad, Asghar Jafarzadeh, Ali, Lado, Marcos

“…•MIA, CIA, CIW and V were suitable indices for evaluation of weathering rate in aridisols.•FTIR was a suitable approach for prediction of weathering indices in…”
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Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon by Goydaragh, Maryam Ghebleh, Taghizadeh-Mehrjardi, Ruhollah, Jafarzadeh, Ali Asghar, Triantafilis, John, Lado, Marcos

“…•FTIR data has successfully improved the accuracy of SOC content mapping.•Cubist+Bat model has predicted the SOC content with moderate accuracy.•The bands in…”
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High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran by Taghizadeh-Mehrjardi, Ruhollah, Nabiollahi, Kamal, Kebonye, Ndiye M., Kakhani, Nafiseh, Ghebleh-Goydaragh, Maryam, Heung, Brandon, Amirian-Chakan, Alireza, Hossaini, Sayed Mohammad Taher, Scholten, Thomas

“…In response to the demand for spatial information on the soil to support the sustainable management of soil resources, this study applies a digital soil…”
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