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Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India
Research article (Sustainability, 2025) · cited 18× · AI/ML
Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India
Summary
Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India is a scholarly article[1].
Key Facts
Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India'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). Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-driven-groundwater-potential-zoning-using-geospatial-analytics-and-random-forest-in-the-pandameru-river
MLA“Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-driven-groundwater-potential-zoning-using-geospatial-analytics-and-random-forest-in-the-pandameru-river.
BibTeX@misc{4ortxyz_machine-learning-driven-groundwater-potential-zoning-using-geospatial-analytics-and-random-forest-in-the-pandameru-river_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-driven-groundwater-potential-zoning-using-geospatial-analytics-and-random-forest-in-the-pandameru-river}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning-Driven Groundwater Potential Zoning Using Geospatial Analytics and Random Forest in the Pandameru River Basin, South India — https://4ort.xyz/entity/machine-learning-driven-groundwater-potential-zoning-using-geospatial-analytics-and-random-forest-in-the-pandameru-river (retrieved 2026-05-24)
