Grapevine crop evapotranspiration and crop coefficient forecasting using linear and non-linear multiple regression models

Keyphrases

• Accurate Assessment 25%
• Advanced Algorithm 25%
• Area Data 25%
• Cabernet Sauvignon 25%
• Coefficient of Determination 25%
• Coefficient of Variation 25%
• Crop Coefficient 100%
• Crop Evapotranspiration 100%
• Direct Forecasting 25%
• Drainage Lysimeters 25%
• Error Range 25%
• Grapevine 100%
• Growing Season 75%
• Irrigation 25%
• Irrigation Management 50%
• Leaf Area 75%
• Mean Squared Error Analysis 25%
• Meteorological Parameters 25%
• Model Accuracy 25%
• Modeling Approach 25%
• Multivariate Adaptive Regression Splines 25%
• Nonlinear Modeling 25%
• Nonlinear multiple Regression Model 100%
• Normalized Root Mean Square Error 25%
• Physiological Properties 25%
• Plant Type 25%
• Property Parameters 25%
• Rapid Measurement 25%
• Regression Model 50%
• Residual Standard Deviation 25%
• Root Mean Square Error 100%
• Variable Combination 25%
• Vine 50%
• Vineyard 50%
• Vitis Vinifera 25%
• Water Balance 25%

Agricultural and Biological Sciences

• Crop Coefficient 100%
• Decision Making 33%
• Evapotranspiration 100%
• Grape 33%
• Growing Season 100%
• Irrigation 33%
• Irrigation Management 66%
• Leaf Area 100%
• Lysimeters 33%
• Meteorological Parameter 33%
• Vitis vinifera 33%
• Water Balance 33%

Food Science

• Cabernet Sauvignon 100%