A graded proportion method of training sample selection for updating conventional soil maps

Research article (Geoderma, 2019) · cited 19× · AI/ML
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A graded proportion method of training sample selection for updating conventional soil maps

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A graded proportion method of training sample selection for updating conventional soil maps is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A graded proportion method of training sample selection for updating conventional soil maps. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-graded-proportion-method-of-training-sample-selection-for-updating-conventional-soil-maps
MLA “A graded proportion method of training sample selection for updating conventional soil maps.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-graded-proportion-method-of-training-sample-selection-for-updating-conventional-soil-maps.
BibTeX @misc{4ortxyz_a-graded-proportion-method-of-training-sample-selection-for-updating-conventional-soil-maps_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A graded proportion method of training sample selection for updating conventional soil maps}}, year = {2026}, url = {https://4ort.xyz/entity/a-graded-proportion-method-of-training-sample-selection-for-updating-conventional-soil-maps}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A graded proportion method of training sample selection for updating conventional soil maps — https://4ort.xyz/entity/a-graded-proportion-method-of-training-sample-selection-for-updating-conventional-soil-maps (retrieved 2026-05-24)

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