Home ›
Entities
› academia
› Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China
Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China
Research article (Computers and Electronics in Agriculture, 2020) · cited 21× · AI/ML
Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China
Summary
Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China is a scholarly article[1].
Key Facts
Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-prediction-of-depth-specific-soil-texture-distributions-with-artificial-neural-network-a-case-study-in-yunfu-a-typ
MLA“Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-prediction-of-depth-specific-soil-texture-distributions-with-artificial-neural-network-a-case-study-in-yunfu-a-typ.
BibTeX@misc{4ortxyz_model-prediction-of-depth-specific-soil-texture-distributions-with-artificial-neural-network-a-case-study-in-yunfu-a-typ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China}}, year = {2026}, url = {https://4ort.xyz/entity/model-prediction-of-depth-specific-soil-texture-distributions-with-artificial-neural-network-a-case-study-in-yunfu-a-typ}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Model prediction of depth-specific soil texture distributions with artificial neural network: A case study in Yunfu, a typical area of Udults Zone, South China — https://4ort.xyz/entity/model-prediction-of-depth-specific-soil-texture-distributions-with-artificial-neural-network-a-case-study-in-yunfu-a-typ (retrieved 2026-05-24)
