Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting

Keyphrases

• Optimization Algorithm 100%
• Coronavirus 100%
• Evapotranspiration 100%
• Hybrid Deep Learning 100%
• Reference Evapotranspiration 66%
• Portugal 33%
• Agriculture 33%
• Support Vector Machine 33%
• Computation Time 33%
• Decision Tree 33%
• Wind Speed 33%
• Alentejo 33%
• RegA 33%
• Air Temperature 33%
• Multilayer Perceptron 33%
• Meteorological Data 33%
• Sustainable Agriculture 33%
• Forecast Performance 33%
• Least Absolute Shrinkage and Selection Operator (LASSO) 33%
• Future Value 33%
• Effective Water 33%
• COVID-19 Spread 33%
• Long Short-term Memory Neural Network 33%
• Explainability 33%
• Crop Planning 33%
• Hydrological Monitoring 33%
• Shapley Additive Explanations 33%
• Water Management Strategies 33%
• Bio-inspired Metaheuristics 33%
• Reference Evapotranspiration Prediction 33%

Engineering

• Perceptron 100%
• Input Data 100%
• Deep Learning Method 100%
• Water Management 100%
• Support Vector Machine 100%
• Computational Time 100%
• Recurrent 100%
• Relevant Variable 100%
• Least Absolute Shrinkage and Selection Operator 100%
• Long Short-Term Memory Network 100%
• Long Short-Term Memory 100%

Earth and Planetary Sciences

• Evapotranspiration 100%
• Portugal 16%
• Wind Velocity 16%
• Self Organizing Systems 16%
• Air Temperature 16%
• Water Management 16%
• Support Vector Machine 16%
• Alternative Agriculture 16%
• Long Short-Term Memory Network 16%