Nabiollahi, K., Kebonye, N. M., Molani, F., Tahari-Mehrjardi, M. H., Taghizadeh, R., Shokati, H. and Scholten, T. (2024). Assessment of Land Suitability Potential Using Ensemble Approaches of Advanced Multi-Criteria Decision Models and Machine Learning for Wheat Cultivation. Remote Sensing, 16(14), 2566. p. doi: 10.3390/rs16142566

Khosravani, P., Baghernejad, M., Taghizadeh, R., Mousavi, S. R., Moosavi, A. A., Fallah Shamsi, S. R., Shokati, H., Kebonye, N. M. and Scholten, T. (2024). Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran. Land, 13(8), 1309. p. doi: 10.3390/land13081309

Kebonye, N. M., John, K., Delgado-Baquerizo, M., Zhou, Y., Agyeman, P. C., Seletlo, Z., Heung, B., & Scholten, T. (2024). Major overlap in plant and soil organic carbon hotspots across Africa. Science of The Total Environment, 951, 175476. doi: 10.1016/j.scitotenv.2024.175476

Taghizadeh, R., Nabiollahi, K., Kebonye, N. M., Kakhani, N., Ghebleh-Goydaragh, M., Heung, B., Amirian-Chakan, A., Hossaini, S. M. T., Scholten, T. (2024): High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran. In: Geoderma Regional, Jg. 36, p. e00754. doi: 10.1016/j.geodrs.2024.e00754

Kakhani, N., Alamdar, S., Kebonye, N. M., Amani, M., Scholten, T. (2024): Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction. In: Remote Sensing, Jg. 16, H. 3, S. 438. doi: 10.3390/rs16030438

Agyeman, P. C., Borůvka, L., Kebonye, N. M., Khosravi, V., John, K., Drabek, O., Tejnecky, V. (2023): Prediction of the concentration of cadmium in agricultural soil in the Czech Republic using legacy data, preferential sampling, Sentinel-2, Landsat-8, and ensemble models. In: Journal of Environmental Management, Jg. 330,  S. 117194. doi: 10.1016/j.jenvman.2022.117194

Agyeman, P. C., Kebonye, N. M., John, K., Haghnazar, H., Borůvka, L., Vašát, R. (2022): Compositional mapping, uncertainty assessment, and source apportionment via pollution assessment-based receptor models in urban and peri-urban agricultural soils. In: J Soils Sediments. doi: 10.1007/s11368-022-03417-3

Agyeman, P. C., Kingsley, J., Kebonye, N. M., Khosravi, V., Borůvka, L., Vašát, R. (2022): Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging. In: Environmental Pollution, S. 120697. doi: 10.1016/j.envpol.2022.120697

Agyeman, P.C., Kebonye, N.M., Khosravi, V., Kingsley, J., Borůvka, L., Vašát, R., Boateng, C.M. (2023): Optimal zinc level and uncertainty quantification in agricultural soils via visible near-infrared reflectance and soil chemical properties. Journal of Environmental Management, 116701. doi: 10.1016/j.jenvman.2022.116701

Kebonye, N.M., Agyeman, P.C., Biney, J.K. (2022). Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree. Smart Agricultural Technology, 100106. doi: 10.1016/j.atech.2022.100106

Agyeman, P.C., John, K., Kebonye, N.M., Borůvka, L., Vašát, R. (2022). Combination of enrichment factor and positive matrix factorization in the estimation of potentially toxic element source distribution in agricultural soil. Environ Geochem Health. doi: 10.1007/s10653-022-01348-z

Khosravani, P., Moosavi, A. A., Baghernejad, M., Kebonye, N.M., Mousavi, S. R., & Scholten, T. (2024). Machine Learning Enhances Soil Aggregate Stability Mapping for Effective Land Management in a Semi-Arid Region. Remote Sensing, 16(22), 4304.

Kebonye, N.M., Agyeman, P.C., & Biney, J.K. (2022). Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree. Smart Agricultural Technology, 100106. doi: 10.1016/j.atech.2022.100106

Kebonye, N.M. (2021). Exploring the novel support points-based split method on a soil dataset. Measurement, 186, 110131. doi: 10.1016/j.measurement.2021.110131

Kebonye, N.M., Eze, P.N., Agyeman, P.C., John, K., & Ahado, S.K. (2021). Efficiency of the t-distribution stochastic neighbor embedding technique for detailed visualization and modeling interactions between agricultural soil quality indicators. Biosystems Engineering, 210, 282-298. doi: 10.1016/j.biosystemseng.2021.08.033

Kebonye, N.M., Eze, P.N., John, K., Gholizadeh, A., Dajčl, J., Drábek, O., Němeček, K. & Borůvka, L. (2021). Self-organizing map artificial neural networks and sequential Gaussian simulation technique for mapping potentially toxic element hotspots in polluted mining soils. Journal of Geochemical Exploration, 222, p.106680. doi: 10.1016/j.gexplo.2020.106680

Kebonye, N.M., John, K., Chakraborty, S., Agyeman, P.C., Ahado, S.K., Eze, P.N., Němeček, K., Drábek, O., & Borůvka, L. (2021). Comparison of multivariate methods for arsenic estimation and mapping in floodplain soil via portable X-ray fluorescence spectroscopy. Geoderma, 384, p.114792. doi: 10.1016/j.geoderma.2020.114792

Note: All my publications can be accessed from my Google Scholar and Research Gate accounts.

Kebonye, N.M., & Eze, P.N. (2019). The Role of Soils in Sustaining Society and the Environment Espoused in Setswana Proverbs. In: Yang, J.E., Kirkham, M.B., Lal, R., & Huber, S. (Eds.), IUSS Global Soil Proverbs: Cultural Language of the Soil, Schweizerbart and Borntraeger Science Publishers, Stuttgart – Germany, pp. 1-5.

Kebonye, N.M. (2022). On evaluating the feasibility of digital soil mapping for elucidating soil class units via machine learning algorithms – A comparison with conventional soil maps. Chair of Soil Science and Geomorphology, Eberhard Karls University Tübingen, Tübingen, Germany. [Talk].

Kebonye, N.M., & Eze, P.N. (2019). Zirconium suitability for normalization procedure in estimating soil contamination in treated wastewater discharge vicinity. 1st International Student Conference on Geochemistry and Mineral Deposits. Charles University, Prague, Czech Republic. [Presentation].