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Full-Text Articles in Other Economics
Improving Spatio-Temporal Benefit Transfers For Pest Control By Generalist Predators In Cotton In The Southwestern Us, Ruscena Wiederholt, Kenneth J. Bagstad, Gary F. Mccracken, Jay E. Diffendorfer, John B. Loomis, Darius J. Semmens, Amy L. Russell, Chris Sansone, Kelsie Lasharr, Paul Cryan, Claudia Reynoso, Rodrigo A. Medellin, Laura Lopez-Hoffman
Improving Spatio-Temporal Benefit Transfers For Pest Control By Generalist Predators In Cotton In The Southwestern Us, Ruscena Wiederholt, Kenneth J. Bagstad, Gary F. Mccracken, Jay E. Diffendorfer, John B. Loomis, Darius J. Semmens, Amy L. Russell, Chris Sansone, Kelsie Lasharr, Paul Cryan, Claudia Reynoso, Rodrigo A. Medellin, Laura Lopez-Hoffman
Amy L. Russell
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 post-optimum …
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 post-optimum …
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 post-optimum …
Porous Capsule Irrigation, David A. Bainbridge
Porous Capsule Irrigation, David A. Bainbridge
David A Bainbridge
Porous capsule irrigation is a modern adaptation of buried clay pot irrigation. Research in Brazil and Mexico has demonstrated its value in improving water use efficiency. Porous capsules are more easily integrated in an irrigation network than buried clay pots.