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Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent
Research article (Groundwater for Sustainable Development, 2023) · cited 10× · AI/ML
Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent
Summary
Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent is a scholarly article[1].
Key Facts
Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent'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). Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent. Retrieved May 24, 2026, from https://4ort.xyz/entity/large-scale-quantification-of-groundwater-recharge-threshold-conditions-using-machine-learning-classifications-an-attemp
MLA“Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/large-scale-quantification-of-groundwater-recharge-threshold-conditions-using-machine-learning-classifications-an-attemp.
BibTeX@misc{4ortxyz_large-scale-quantification-of-groundwater-recharge-threshold-conditions-using-machine-learning-classifications-an-attemp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent}}, year = {2026}, url = {https://4ort.xyz/entity/large-scale-quantification-of-groundwater-recharge-threshold-conditions-using-machine-learning-classifications-an-attemp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent — https://4ort.xyz/entity/large-scale-quantification-of-groundwater-recharge-threshold-conditions-using-machine-learning-classifications-an-attemp (retrieved 2026-05-24)
