Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China

Research article (Agricultural Water Management, 2019) · cited 114× · AI/ML
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Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China

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Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/generalized-reference-evapotranspiration-models-with-limited-climatic-data-based-on-random-forest-and-gene-expression-pr
MLA “Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generalized-reference-evapotranspiration-models-with-limited-climatic-data-based-on-random-forest-and-gene-expression-pr.
BibTeX @misc{4ortxyz_generalized-reference-evapotranspiration-models-with-limited-climatic-data-based-on-random-forest-and-gene-expression-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China}}, year = {2026}, url = {https://4ort.xyz/entity/generalized-reference-evapotranspiration-models-with-limited-climatic-data-based-on-random-forest-and-gene-expression-pr}, note = {Accessed: 2026-05-24}}
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