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A Remote Sensing Based Hydrological Modelling Approach to Estimate Daily Actual Evapotranspiration
Evapotranspiration (ET) is an important variable in the soil–plant-atmosphere (SPA) continuum. The quantification of the spatiotemporal dynamics of...
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Assessing Daily ERA5-Land Reanalysis Data to Estimate Actual Evapotranspiration of Olive Orchards in Sicily
Accurate estimations of actual crop evapotranspiration are of utmost importance to evaluate crop water requirements and optimize water use...
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Development of radiation and temperature-based empirical models for accurate daily reference evapotranspiration estimation in Iraq
Reliable estimation of reference evapotranspiration (ET o ), an essential component of optimal irrigation management, is challenging in many regions...
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Estimation of daily reference evapotranspiration implementing satellite image data and strategy of ensemble optimization algorithm of stochastic gradient descent with multilayer perceptron
Water resource management relies on accurate estimations of evapotranspiration (ET 0 ). Moreover, the use of satellite images is often an effective...
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Improved weighted ensemble learning for predicting the daily reference evapotranspiration under the semi-arid climate conditions
Evapotranspiration is an important quantity required in many applications, such as hydrology and agricultural and irrigation planning. Reference...
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Applicability of hybrid bionic optimization models with kernel-based extreme learning machine algorithm for predicting daily reference evapotranspiration: a case study in arid and semiarid regions, China
The accurate prediction of daily reference crop evapotranspiration (ET O ) enables effective management decision-making for agricultural water...
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Random forest for spatialization of daily evapotranspiration (ET0) in watersheds in the Atlantic Forest
The importance of daily data on reference evapotranspiration (ET 0 ) has increased in recent years due to its relevance in planning and decision making...
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Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models
The reference crop evapotranspiration (ET 0 ) is one of the major components of the hydrological cycle, and its prediction is of great importance in...
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Estimating maize evapotranspiration based on hybrid back-propagation neural network models and meteorological, soil, and crop data
Crop evapotranspiration is a key parameter influencing water-saving irrigation and water resources management of agriculture. However, current models...
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Optimizing evapotranspiration and crop irrigation requirements of tropical forages crop** systems in Southern Brazil
Crop irrigation requirements are usually estimated based on crop evapotranspiration (ET c ) as determined by the reference evapotranspiration (ETo) and...
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Prediction of monthly evapotranspiration by artificial neural network model development with Levenberg–Marquardt method in Elazig, Turkey
The phenomenon of evapotranspiration (ET) is closely linked to the issue of water scarcity, as it involves water loss through both evaporation and...
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Climate Change Impact on Future Reference Evapotranspiration and Crop Evapotranspiration for Maize in Sehore District of Madhya Pradesh
The FAO CROPWAT tool was utilised to estimate the future reference evapotranspiration and maize crop evapotranspiration for years 2030, 2060 and 2090...
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Calibration and validation of solar radiation-based equations to estimate crop evapotranspiration in a semi-arid climate
The Abtew and Jensen-Haise solar radiation-based equations were used to estimate evapotranspiration, considering the limited climatic data in many...
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High performance machine learning approach for reference evapotranspiration estimation
Accurate reference evapotranspiration (ET 0 ) estimation has an effective role in reducing water losses and raising the efficiency of irrigation water...
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Data-driven reference evapotranspiration (ET0) estimation: a comparative study of regression and machine learning techniques
Precise computation of evapotranspiration is critical for an efficient irrigation planning and managing agriculture water. This investigation aimed...
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Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions
Precise estimation of reference evapotranspiration (ET 0 ) is crucial for efficient agricultural water management, crop modelling, and irrigation...
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Using the SARIMA model to predict the trends of evapotranspiration and runoff in the Muringato river basin, Kenya
The trends of evapotranspiration and runoff in hydrological basins are heavily dependent on climatic patterns and their amounts vary as a result of...
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Evapotranspiration adjustment for irrigated maize–soybean rotation systems in Nebraska, USA
Irrigation water requirements are commonly estimated based on the estimated crop evapotranspiration (ET c ) as determined by the reference...
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Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model
Among several complex hydrological process elements, Evapotranspiration (ET) is the most complex one. Estimation of ET is very challenging compared...
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Estimation of Groundwater Evapotranspiration and Extinction Depth Using Diurnal Water Table Fluctuation and Remote Sensing Observations: A Case Study in Agriculture-Dominated Watershed of Eastern India
Groundwater models meticulously considering the water balance components have paramount importance in sustainable decision-making on groundwater....
