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Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms
Research article (Agricultural and Forest Meteorology, 2017) · cited 165× · AI/ML
Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms
Summary
Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms is a scholarly article[1].
Key Facts
Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms'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). Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-global-terrestrial-evapotranspiration-estimation-using-support-vector-machine-by-integrating-three-process-bas
MLA“Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-global-terrestrial-evapotranspiration-estimation-using-support-vector-machine-by-integrating-three-process-bas.
BibTeX@misc{4ortxyz_improving-global-terrestrial-evapotranspiration-estimation-using-support-vector-machine-by-integrating-three-process-bas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/improving-global-terrestrial-evapotranspiration-estimation-using-support-vector-machine-by-integrating-three-process-bas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms — https://4ort.xyz/entity/improving-global-terrestrial-evapotranspiration-estimation-using-support-vector-machine-by-integrating-three-process-bas (retrieved 2026-05-24)
