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Calculating Cost Savings Per Acre When Harvest Days are Stochastic AgEcon
Farrell, Matthew; Ibendahl, Gregory A..
New cotton harvesters have been introduced that have higher performance rate as well as eliminate extra labor and accompanying equipment. The new machines build partial modules on board the harvester. Higher field efficiency (performance rate) lets a farmers harvest his cotton in a shorter period. Precipitation causes cotton losses in both quality and quantity of the cotton. This paper seeks to measure cost per acre when harvest days are stochastic by using historic precipitation data. Cost per acre will include the cost of losses from a loss function from precipitation. Cost per acre will be adjusted for conventional versus new technology by quantifying the losses that contribute to extra costs of extended harvesting.
Tipo: Conference Paper or Presentation Palavras-chave: Cotton; Harvester; Fieldwork days; Stochastic; Cost per acre; Agribusiness; Farm Management.
Ano: 2010 URL: http://purl.umn.edu/56507
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Estimating Cotton Harvest Cost per Acre When Harvest Days are Stochastic AgEcon
Farrell, Matthew; Ibendahl, Gregory A..
The cotton harvesting industry is in the beginnings of its next technological advance, cotton harvesters that form cotton modules inside the machine then deposit them off the rows. These new machines eliminate the need for extra labor and equipment, but are more expensive than conventional pickers. Increased field efficiency is also a benefit of the on-board module builders. The problem facing producers is determining the optimal number of acres to plan for harvest when trying to decide which harvester to purchase. This paper examines two objectives. First, determine the cost per acre of both conventional and on-board module harvester systems for different acreage levels assuming harvest hours per year are fixed. Second, make the harvest hours per season...
Tipo: Conference Paper or Presentation Palavras-chave: Cotton harvester; Harvest hours; Cost per acre; Field efficiency; On-board module builder; Crop Production/Industries; Financial Economics; Risk and Uncertainty.
Ano: 2009 URL: http://purl.umn.edu/46813
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