Dr. Ndiye M. Kebonye
Address:
Eberhard Karls University Tübingen
Soil Science and Geomorphology
Rümelinstraße 19 – 23
D-72070 Tübingen
Office: Room W304, Westbau
Contact:
ndiye.kebonye @uni-tuebingen.de
Consulting hours:
By arrangement
Google Scholar: ResearchGate: Personal website: Link
Function/Role: Researcher
CV
19 August, Orapa, Botswana
Research Topics
- Multivariate Statistical Methods
- Pedometrics/ Digital Soil Mapping (DSM)
- Advanced Dimension Reduction Methods
Awards
Best Oral Presentation in Geochemistry Section at the 1st International Student Conference on Geochemistry and Mineral Deposits, Prague, Czech Republic.
Certifications
- Harvard Professional Certificate in Data Science
- ISRIC Spring School, Hands-on Digital Soil Mapping by ISRIC
- Principles of Machine Learning: R Edition by Microsoft
- Fundamentals of Project Planning and Management by University of Virginia
Work Experience & Education
Currently
Machine Learning for Science Research Fellow
Cluster of Excellence “Machine Learning – New Perspectives for Science”, Tübingen University, Tübingen, Germany
2021 Jul
Doctoral of Philosophy (Ph.D.) In Agricultural Specialization: Exploitation and Conservation of Natural Resources
Department of Soil Science and Soil Protection, Czech University of Life Sciences (CZU), Prague, Czech Republic
2018 Oct – 2021 July
Graduate Research Assistant
Department of Soil Science and Soil Protection, Czech University of Life Sciences (CZU), Prague, Czech Republic
2017 Oct
Master of Science Degree (MS.c.) In Environmental Science: Environmental Soil Science
Department of Earth and Environmental Science, Botswana International University of Science and Technology (BIUST), Palapye, Botswana
2014 Jan – 2014 May
Graduate Teaching and Research Assistant
Department of Earth and Environmental Science, Botswana International University of Science and Technology (BIUST), Palapye, Botswana
2014 Jan – 2014 May
Grade 6 Temporary Primary Teacher
Chanoga Primary School under the Ministry of Education and Skills Development (MOESD), Maun, Botswana
2013 May
Bachelor of Science Degree (BSc.) In Animal Science: Ruminant Stream
Botswana College of Agriculture (BCA)/ University of Botswana (UB), Sebele, Botswana
Teaching Experience
2014 Oct – 2017 Oct: Teaching Assistant at the Botswana International University of Science and Technology (BIUST)
- Introduction To The Biophysical Environment
- Research Methods In Earth and Environmental Sciences
- Remote Sensing in Earth and Environmental Sciences
- Environmental Impact Assessment
- Geographic Information Systems and Databases
- Soil Science and Pedology
- Environmental Pollution and Remediation
Publications
Recently Published
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
Selected Publications
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
All publications
Note: All my publications can be accessed from my Google Scholar and Research Gate accounts.
Book Chapters
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.
Conferences and invited talks
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].