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Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)
Research article (Scientific Reports, 2018) · cited 60× · AI/ML
Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)
Summary
Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso) is a scholarly article[1].
Key Facts
Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)'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). Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso). Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-reference-soil-groups-using-legacy-data-a-data-pruning-and-random-forest-approach-for-tropical-environment-da
MLA“Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-reference-soil-groups-using-legacy-data-a-data-pruning-and-random-forest-approach-for-tropical-environment-da.
BibTeX@misc{4ortxyz_predicting-reference-soil-groups-using-legacy-data-a-data-pruning-and-random-forest-approach-for-tropical-environment-da_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-reference-soil-groups-using-legacy-data-a-data-pruning-and-random-forest-approach-for-tropical-environment-da}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso) — https://4ort.xyz/entity/predicting-reference-soil-groups-using-legacy-data-a-data-pruning-and-random-forest-approach-for-tropical-environment-da (retrieved 2026-05-24)
