Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions
Precise estimation of reference evapotranspiration (ET0) is crucial for efficient agricultural
water management, crop modelling, and irrigation scheduling. In recent years, the data …
water management, crop modelling, and irrigation scheduling. In recent years, the data …
A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration
E Mirzania, DK Vishwakarma, QAT Bui… - Arabian Journal of …, 2023 - Springer
Reference evapotranspiration (ETo) simulation is of great importance for various procedures
of the hydrological cycle, irrigation, agronomic management, and planning and …
of the hydrological cycle, irrigation, agronomic management, and planning and …
[HTML][HTML] Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly …
Evapotranspiration is one of agricultural water management's most significant and impactful
hydrologic processes. A new multi-decomposition deep learning-based technique is …
hydrologic processes. A new multi-decomposition deep learning-based technique is …
Forecasting long-series daily reference evapotranspiration based on best subset regression and machine learning in Egypt
The estimation of reference evapotranspiration (ETo), a crucial step in the hydrologic cycle,
is essential for system design and management, including the balancing, planning, and …
is essential for system design and management, including the balancing, planning, and …
Assessment of data intelligence algorithms in modeling daily reference evapotranspiration under input data limitation scenarios in semi-arid climatic condition
Crop evapotranspiration is essential for planning and designing an efficient irrigation
system. The present investigation assessed the capability of four machine learning …
system. The present investigation assessed the capability of four machine learning …
Comparative analysis of advanced deep learning models for predicting evapotranspiration based on meteorological data in bangladesh
Evapotranspiration is one of the crucial elements in water balance equations and plays a
pivotal role in the water and energy cycle of an area. An accurate and precise estimation …
pivotal role in the water and energy cycle of an area. An accurate and precise estimation …
Concept of climate smart villages using artificial intelligence/machine learning
Climate change induced rise in temperature, variability in rainfall, and occurrence of extreme
weather events are causing pressures on global agricultural and food security. Agriculture is …
weather events are causing pressures on global agricultural and food security. Agriculture is …
Reference evapotranspiration prediction using machine learning models: An empirical study from minimal climate data
The scarcity of climatic data is the biggest challenge for developing countries, and the
development of models for reference evapotranspiration (ET0) estimation with limited …
development of models for reference evapotranspiration (ET0) estimation with limited …
Artificial Neural Network for Forecasting Reference Evapotranspiration in Semi-Arid Bioclimatic Regions
A correct determination of irrigation water requirements necessitates an adequate estimation
of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial …
of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial …
[PDF][PDF] Artificial Neural Network for Forecasting Reference Evapotranspiration in Semi-Arid Bioclimatic Regions. Water 2024, 16, 602
A correct determination of irrigation water requirements necessitates an adequate estimation
of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial …
of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial …