Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction. [PDF]
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Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates. [PDF]
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Calibration of the seasonal growth model. Final report [PDF]
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Comprehensive dataset for olive tree varieties responses to different level of drought stress. [PDF]
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Monitoring changes in the landscape water balance: validation of satellite- and model-based evapotranspiration data in Lusatia, Germany. [PDF]
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Integrating Load-Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration. [PDF]
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Editorial: Enhancing agricultural water management: techniques for improving crop water efficiency and sustainability. [PDF]
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CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060. [PDF]
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Parameterization of Four Models to Estimate Crop Evapotranspiration in a Solar Greenhouse. [PDF]
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