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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
02/10/1997 |
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Data da última atualização: |
25/03/2010 |
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Autoria: |
DUFFY, P. A.; TAYLOR, C. R.; RUSSELL, R. C. |
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Título: |
Using dynamic programming models in farm management research. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE, 5., 1994, Orlando. Computers in agriculture: proceedings. St. Joseph, MI: ASAE, 1994. |
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Páginas: |
p. 495-500. |
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Idioma: |
Inglês |
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Conteúdo: |
In the past, many practical applications of dynamic programming were limited by computational power and the so-called "curse of dimensionality". Current improvements in computational power have explanded the usefulness of dynamic programming in farm management applications by allowing more detailed representation of important state variables, making the problems more reflective of true management environments. An outline of dynamic programming code for long-term planning of a crop farm under government program provisions is presented here. The basic code has been used to develop various farm-level models for analysis of crop-mix and farm-program participation decisions for a representative midwestern corn-soybeans farm and for a representative southeastern cotton-soybeans-wheat farm. Results indicate that, for the midwestern farm, rotational considerations play an important role in determining optimal acreage and farm-program participation, while for the southastern farm, cotton program provisions are the driving factor. The models were run a sun SPARCStation IPC, running sunos 4.1.2, equipped with 32 megs of RAM. Although one of the more complex farm models, with 117, 649 states and a time-horizon of twenty years, requires approximately 138 hours to run on the work station, the smaller models can be run in less than twenty-four hours. |
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Palavras-Chave: |
Agroinformatics; Computadores aplicados a agricultura; Computer in agriculture; Informatica na agropecuaria; Information technology in agriculture; Tecnologia de informacao na agricultura. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02124naa a2200229 a 4500
001 1004847
005 2010-03-25
008 1994 bl uuuu u00u1 u #d
100 1 $aDUFFY, P. A.
245 $aUsing dynamic programming models in farm management research.
260 $c1994
300 $ap. 495-500.
520 $aIn the past, many practical applications of dynamic programming were limited by computational power and the so-called "curse of dimensionality". Current improvements in computational power have explanded the usefulness of dynamic programming in farm management applications by allowing more detailed representation of important state variables, making the problems more reflective of true management environments. An outline of dynamic programming code for long-term planning of a crop farm under government program provisions is presented here. The basic code has been used to develop various farm-level models for analysis of crop-mix and farm-program participation decisions for a representative midwestern corn-soybeans farm and for a representative southeastern cotton-soybeans-wheat farm. Results indicate that, for the midwestern farm, rotational considerations play an important role in determining optimal acreage and farm-program participation, while for the southastern farm, cotton program provisions are the driving factor. The models were run a sun SPARCStation IPC, running sunos 4.1.2, equipped with 32 megs of RAM. Although one of the more complex farm models, with 117, 649 states and a time-horizon of twenty years, requires approximately 138 hours to run on the work station, the smaller models can be run in less than twenty-four hours.
653 $aAgroinformatics
653 $aComputadores aplicados a agricultura
653 $aComputer in agriculture
653 $aInformatica na agropecuaria
653 $aInformation technology in agriculture
653 $aTecnologia de informacao na agricultura
700 1 $aTAYLOR, C. R.
700 1 $aRUSSELL, R. C.
773 $tIn: INTERNATIONAL CONFERENCE, 5., 1994, Orlando. Computers in agriculture: proceedings. St. Joseph, MI: ASAE, 1994.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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