Author

Y. A. Awwal

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Open access Oct 2026

Comparative assessment of machine learning algorithms and Ordinary Kriging for predictive mapping of soil clay content in a tropical Guinea Savanna

Cubist was the best-performing model among the evaluated configurations, demonstrating the potential of ML-based digital soil mapping for clay characterization and soil resource management in data-scarce tropical environments.

Y. A. Awwal, S. M. Yahaya, C. S. Ogbonnaya · Discover Soil · 0 citations

Open access 2026

Comparative Assessment of Machine Learning Classifiers for Land Use/Land Cover Mapping in a Tropical Savanna Landscape

Accurate land use/land cover (LULC) information is essential for environmental monitoring, agricultural planning, and sustainable land management, particularly in rapidly changing tropical savanna landscapes. This study comparatively assessed the performance of Random Forest (RF), Support Vector Machine (SVM), and Clas...

Y. A. Awwal, M. Isma'il, S.-L. Ya'u et al. · Kaduna Journal of Geography · 0 citations