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

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Predicting weathering indices in soils using FTIR spectra and random forest models von Ghebleh Goydaragh, Maryam, Taghizadeh-Mehrjardi, Ruhollah, Golchin, Ahmad, Asghar Jafarzadeh, Ali, Lado, Marcos

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Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon von Goydaragh, Maryam Ghebleh, Taghizadeh-Mehrjardi, Ruhollah, Jafarzadeh, Ali Asghar, Triantafilis, John, Lado, Marcos

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Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models von Goydaragh, Maryam Ghebleh, Jafarzadeh, Ali Asghar, Shahbazi, Farzin, Oustan, Shahin, Taghizadeh-Mehrjardi, Ruhollah, Lado, Marcos

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High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran von Taghizadeh-Mehrjardi, Ruhollah, Nabiollahi, Kamal, Kebonye, Ndiye M., Kakhani, Nafiseh, Ghebleh-Goydaragh, Maryam, Heung, Brandon, Amirian-Chakan, Alireza, Hossaini, Sayed Mohammad Taher, Scholten, Thomas

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Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models/ Estimativa da composico elementar de solos do Azerbaijao o... von Goydaragh, Maryam Ghebleh, Jafarzadeh, Ali Asghar, Shahbazi, Farzin, Oustan, Shahin, Taghizadeh-Mehrjardi, Ruhollah, Lado, Marcos

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