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Machine learning algorithms, particularly LightGBM and XGBoost, can accurately model evapotranspiration and transpiration in subtropical crops to derive crop coefficients and yield response factors for optimizing irrigation. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Modelling water - use and yield of selected irrigated subtropical crops using machine learning and hybrid models in north - eastern South Africa

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