| Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran K Azizi, S Ayoubi, K Nabiollahi, Y Garosi, R Gislum Journal of Geochemical Exploration 233, 106921, 2022 | 88 | 2022 |
| Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran K Azizi, Y Garosi, S Ayoubi, S Tajik Soil and Tillage Research 229, 105681, 2023 | 33 | 2023 |
| Comparison of different machine learning methods for predicting cation exchange capacity using environmental and remote sensing data S Saidi, S Ayoubi, M Shirvani, K Azizi, M Zeraatpisheh Sensors 22 (18), 6890, 2022 | 20 | 2022 |
| Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis K Azizi, S Ayoubi, JAM Demattê Journal of Applied Geophysics 210, 104944, 2023 | 14 | 2023 |
| Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms S Saidi, S Ayoubi, M Shirvani, K Azizi, S Zhao International Journal of Digital Earth 16 (1), 1752-1769, 2023 | 11 | 2023 |
| Assessing the effect of land use and geomorphology on spatial variability of heavy metals and magnetic susceptibility (Case study: Kurdistan province) K Azizi, S Ayoubi, K Nabiollahi Agricultural Engineering 44 (2), 190-209, 2021 | 1 | 2021 |
| Comparison of estimation of soil salinity using spectroscopy, electromagnetic induction, and remote sensing K Nabiollahi, K Azizi, M Davari Journal of Soil Management and Sustainable Production 9 (1), 101-117, 2019 | | 2019 |
| Assessing the capability of the spectrometry method in estimating some properties of salt-affected soils K Azizi, K Nabiollahi, M Davari Agricultural Engineering 41 (3), 1-16, 2018 | | 2018 |
