Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation

Research article (Ecological Informatics, 2023) · cited 65× · AI/ML
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Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation

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Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-models-to-predict-daily-actual-evapotranspiration-of-citrus-orchards-under-regulated-deficit-irrigation
MLA “Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-models-to-predict-daily-actual-evapotranspiration-of-citrus-orchards-under-regulated-deficit-irrigation.
BibTeX @misc{4ortxyz_machine-learning-models-to-predict-daily-actual-evapotranspiration-of-citrus-orchards-under-regulated-deficit-irrigation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-models-to-predict-daily-actual-evapotranspiration-of-citrus-orchards-under-regulated-deficit-irrigation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation — https://4ort.xyz/entity/machine-learning-models-to-predict-daily-actual-evapotranspiration-of-citrus-orchards-under-regulated-deficit-irrigation (retrieved 2026-05-24)

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