Home ›
Entities
› academia
› Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China
Research article (Environmental Pollution, 2020) · cited 119× · AI/ML
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China
Summary
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China is a scholarly article[1].
Key Facts
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW 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). Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China. Retrieved May 24, 2026, from https://4ort.xyz/entity/ensemble-machine-learning-based-framework-for-estimating-total-nitrogen-concentration-in-water-using-drone-borne-hypersp
MLA“Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ensemble-machine-learning-based-framework-for-estimating-total-nitrogen-concentration-in-water-using-drone-borne-hypersp.
BibTeX@misc{4ortxyz_ensemble-machine-learning-based-framework-for-estimating-total-nitrogen-concentration-in-water-using-drone-borne-hypersp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China}}, year = {2026}, url = {https://4ort.xyz/entity/ensemble-machine-learning-based-framework-for-estimating-total-nitrogen-concentration-in-water-using-drone-borne-hypersp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China — https://4ort.xyz/entity/ensemble-machine-learning-based-framework-for-estimating-total-nitrogen-concentration-in-water-using-drone-borne-hypersp (retrieved 2026-05-24)