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## Full-Text Articles in Other Economics

Combine Harvester Econometric Model With Forward Speed Optimization, Nathan E. Isaac, Graeme R. Quick, Stuart J. Birrell, William M. Edwards, Bruce A. Coers

#### Combine Harvester Econometric Model With Forward Speed Optimization, Nathan E. Isaac, Graeme R. Quick, Stuart J. Birrell, William M. Edwards, Bruce A. Coers

*William Edwards*

A combine harvester econometric simulation model was developed with the goal of matching the combine forward speed to the maximum harvested net income per acre. The model considers the machinery management costs of owning a combine and platform header for harvesting wheat. A statistical Design of Experiment (DOE) was used to evaluate the model using tri-level variables; the medium values constituted the model base case. Of the 27 input variables, the optimum speed was significantly influenced by the crop area, G/MOG ratio, grain unit price, field yield, field efficiency, grain moisture content, probability of a working day in the ...

Combine Harvester Econometric Model With Forward Speed Optimization, Nathan E. Isaac, Graeme R. Quick, Stuart J. Birrell, William M. Edwards, Bruce A. Coers

*William Edwards*

A combine harvester econometric simulation model was developed with the goal of matching the combine forward speed to the maximum harvested net income per acre. The model considers the machinery management costs of owning a combine and platform header for harvesting wheat. A statistical Design of Experiment (DOE) was used to evaluate the model using tri-level variables; the medium values constituted the model base case. Of the 27 input variables, the optimum speed was significantly influenced by the crop area, G/MOG ratio, grain unit price, field yield, field efficiency, grain moisture content, probability of a working day in the ...

*William Edwards*

A combine harvester econometric simulation model was developed with the goal of matching the combine forward speed to the maximum harvested net income per acre. The model considers the machinery management costs of owning a combine and platform header for harvesting wheat. A statistical Design of Experiment (DOE) was used to evaluate the model using tri-level variables; the medium values constituted the model base case. Of the 27 input variables, the optimum speed was significantly influenced by the crop area, G/MOG ratio, grain unit price, field yield, field efficiency, grain moisture content, probability of a working day in the ...

*Agricultural and Biosystems Engineering Publications*