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Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya
Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya
Summary
Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya is a scholarly article[1].
Key Facts
Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatial-prediction-and-mapping-of-gully-erosion-susceptibility-using-machine-learning-techniques-in-a-degraded-semi-arid
MLA“Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatial-prediction-and-mapping-of-gully-erosion-susceptibility-using-machine-learning-techniques-in-a-degraded-semi-arid.
BibTeX@misc{4ortxyz_spatial-prediction-and-mapping-of-gully-erosion-susceptibility-using-machine-learning-techniques-in-a-degraded-semi-arid_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya}}, year = {2026}, url = {https://4ort.xyz/entity/spatial-prediction-and-mapping-of-gully-erosion-susceptibility-using-machine-learning-techniques-in-a-degraded-semi-arid}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya — https://4ort.xyz/entity/spatial-prediction-and-mapping-of-gully-erosion-susceptibility-using-machine-learning-techniques-in-a-degraded-semi-arid (retrieved 2026-05-24)
