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On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient

Yun Bai, Sha Zhang, Nishan Bhattarai, Kaniska Mallick, Qi Liu, Lili Tang, Jungho Im, Li Guo, Jiahua Zhang

2021Agricultural and Forest Meteorology101 citationsDOI

Topics & Concepts

Mean squared errorEvapotranspirationEddy covarianceEnsemble learningEnsemble forecastingRandom forestSupport vector machineMachine learningArtificial intelligenceComputer scienceArtificial neural networkBayesian probabilityStatisticsMathematicsBiologyEcologyEcosystemPlant Water Relations and Carbon DynamicsClimate variability and modelsIrrigation Practices and Water Management
On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient | Litcius