Home ›
Entities
› academia
› Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform
Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform
Research article (Theoretical and Applied Climatology, 2023) · cited 39× · AI/ML
Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform
Summary
Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform is a scholarly article[1].
Key Facts
Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform'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). Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-of-meteorological-agricultural-and-hydrological-droughts-in-semi-arid-environments-with-various-machine-learnin
MLA“Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-of-meteorological-agricultural-and-hydrological-droughts-in-semi-arid-environments-with-various-machine-learnin.
BibTeX@misc{4ortxyz_modeling-of-meteorological-agricultural-and-hydrological-droughts-in-semi-arid-environments-with-various-machine-learnin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-of-meteorological-agricultural-and-hydrological-droughts-in-semi-arid-environments-with-various-machine-learnin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform — https://4ort.xyz/entity/modeling-of-meteorological-agricultural-and-hydrological-droughts-in-semi-arid-environments-with-various-machine-learnin (retrieved 2026-05-24)
