Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation

Medicine & Life Sciences

• Agriculture 74%
• Decision Making 26%
• Farms 73%
• Fertilizers 100%
• Forests 76%
• Grain Proteins 59%
• Linear Models 50%
• Nitrogen 31%
• Nonlinear Dynamics 41%
• Sigmoid Colon 35%
• Technology 21%
• Uncertainty 29%
• Weather 40%

Agriculture & Biology

• agriculture 3%
• crop models 5%
• crops 34%
• decision making 4%
• decision support systems 5%
• empirical models 81%
• farms 42%
• fertilizer rates 74%
• grain protein 5%
• grain yield 3%
• nitrogen fertilizers 4%
• nonlinear models 6%
• precision agriculture 5%
• uncertainty 4%
• weather 4%