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Full-Text Articles in Engineering
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
William Edwards
Four case studies were developed for Iowa farm operations that have successfully used machinery and labor sharing arrangements for intergenerational transfer of farm assets. Results were shared at workshops and through publication of a resource manual.
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
William Edwards
Includes advantages and disadvantages of custom hiring and information on estimating costs; includes worksheets.
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
William Edwards
Four case studies were developed for Iowa farm operations that have successfully used machinery and labor sharing arrangements for intergenerational transfer of farm assets. Results were shared at workshops and through publication of a resource manual.
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 …
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
William Edwards
Four case studies were developed for Iowa farm operations that have successfully used machinery and labor sharing arrangements for intergenerational transfer of farm assets. Results were shared at workshops and through publication of a resource manual.
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
William Edwards
Includes advantages and disadvantages of custom hiring and information on estimating costs; includes worksheets.
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 …
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
William Edwards
Includes advantages and disadvantages of custom hiring and information on estimating costs; includes worksheets.
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
William Edwards
Four case studies were developed for Iowa farm operations that have successfully used machinery and labor sharing arrangements for intergenerational transfer of farm assets. Results were shared at workshops and through publication of a resource manual.
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
William Edwards
Four case studies were developed for Iowa farm operations that have successfully used machinery and labor sharing arrangements for intergenerational transfer of farm assets. Results were shared at workshops and through publication of a resource manual.
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
Producer Machinery And Labor Sharing Arrangements Workshops, Roger Ginder, William M. Edwards, Georgeanne M. Artz, Darren H. Jarboe
William Edwards
Four case studies were developed for Iowa farm operations that have successfully used machinery and labor sharing arrangements for intergenerational transfer of farm assets. Results were shared at workshops and through publication of a resource manual.
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 …
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
Ag Decision Maker: Combine Ownership Or Custom Hire, William M. Edwards, H. Mark Hanna
William Edwards
Includes advantages and disadvantages of custom hiring and information on estimating costs; includes worksheets.
Pumpage Reduction By Using Variable Rate Irrigation To Mine Undepleted Soil Water, Tsz Him Lo, Derek M. Heeren, Derrel Martin, Luciano Mateos, Joe D. Luck, Dean E. Eisenhauer
Pumpage Reduction By Using Variable Rate Irrigation To Mine Undepleted Soil Water, Tsz Him Lo, Derek M. Heeren, Derrel Martin, Luciano Mateos, Joe D. Luck, Dean E. Eisenhauer
Biological Systems Engineering: Papers and Publications
Conventional irrigation schedules are typically based on portions of the field where root zones hold the least available soil water. This leaves undepleted available water in areas with larger water holding capacities. The undepleted water could be used through variable-rate irrigation (VRI) management; however, the benefits of VRI without in-field mapping are unexamined. In this research, the field-averaged amount of undepleted available soil water in the root zone was calculated from the NRCS Soil Survey Geographic database for 49,224 center-pivot irrigated fields in Nebraska. Potential reductions in pumpage from mining undepleted available water were then estimated. Results of the analysis …