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Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States
Research article (Agricultural Water Management, 2023) · cited 36× · AI/ML
Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States
Summary
Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States is a scholarly article[1].
Key Facts
Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-machine-learning-and-deep-learning-models-for-multi-step-ahead-daily-reference-evapotranspiration-forecasting-in-
MLA“Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-machine-learning-and-deep-learning-models-for-multi-step-ahead-daily-reference-evapotranspiration-forecasting-in-.
BibTeX@misc{4ortxyz_hybrid-machine-learning-and-deep-learning-models-for-multi-step-ahead-daily-reference-evapotranspiration-forecasting-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-machine-learning-and-deep-learning-models-for-multi-step-ahead-daily-reference-evapotranspiration-forecasting-in-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States — https://4ort.xyz/entity/hybrid-machine-learning-and-deep-learning-models-for-multi-step-ahead-daily-reference-evapotranspiration-forecasting-in- (retrieved 2026-05-24)
