2008
DOI: 10.1590/s0100-69162008000300008
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Computational modeling for irrigated agriculture planning. Part I: general description and linear programming

Abstract: Linear programming models are effective tools to support initial or periodic planning of agricultural enterprises, requiring, however, technical coefficients that can be determined using computer simulation models. This paper, presented in two parts, deals with the development, application and tests of a methodology and of a computational modeling tool to support planning of irrigated agriculture activities. Part I aimed at the development and application, including sensitivity analysis, of a multiyear linear … Show more

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Cited by 11 publications
(5 citation statements)
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References 7 publications
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“…Table 3.Cultivated areas (ha), water depths with their respective yields and financial return for each studied crop, and sensitivity analysis of the model's objective function Table 4.Marginal costs associated with the non-basic activities and minimum value of the contribution to the profit for a volume Similarly, land was not restrictive in several months of the year in a study conducted by Santos et al (2009) in the Baixo Acaraú Irrigation Project -CE, also with analysis by linear programming tools. Andrade et al (2008), seeking to establish an optimal cultivation pattern in the Gorutuba Irrigation District, MG, found that land-related constraints were not that pronounced in comparison to the effects of water and labor constraints.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Table 3.Cultivated areas (ha), water depths with their respective yields and financial return for each studied crop, and sensitivity analysis of the model's objective function Table 4.Marginal costs associated with the non-basic activities and minimum value of the contribution to the profit for a volume Similarly, land was not restrictive in several months of the year in a study conducted by Santos et al (2009) in the Baixo Acaraú Irrigation Project -CE, also with analysis by linear programming tools. Andrade et al (2008), seeking to establish an optimal cultivation pattern in the Gorutuba Irrigation District, MG, found that land-related constraints were not that pronounced in comparison to the effects of water and labor constraints.…”
Section: Resultsmentioning
confidence: 99%
“…The linear programming was used in the studies to optimize agricultural production systems, considering single or multiple cropping systems, subjected or not to specific irrigation plans (Carvalho et al, 2000;Borges Júnior et al, 2008;Lima et al, 2008;Schonwald et al, 2008;Carvalho et al, 2009;Marques et al, 2009;Schardong et al, 2009;Santos et al, 2009;Cabral et al, 2011;Delgado et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…The linear programming models are effective tools to support initial or periodic planning of agricultural enterprises, requiring, however, technical coefficients that can be determined using computer simulation models (BORGES JÚNIOR et al, 2008). These authors present a study that involves the development, application and tests of a methodology and of a computational modeling tool to support planning of irrigated agriculture activities.…”
Section: Methodsmentioning
confidence: 99%
“…O estudo utilizou o método de pesquisa operacional, aplicando um modelo de programação linear por meio da ferramenta Solver, disponível no Microsoft Office Excel. A pesquisa operacional utiliza modelos matemáticos e tem sido utilizada como metodologia em estudos de analisam a otimização de alternativas para uso dos fatores de produção em empreendimentos agrícolas (BORGES JÚNIOR et al, 2008;CARVALHO et al, 2000;DELGADO et al, 2012;FRIZZONE et al, 1994), sobretudo como estratégia de gestão e planejamento das atividades, tendo o objetivo de encontrar um melhor conjunto de alternativas, dadas as restrições impostas pelo ambiente, as quais geralmente consideram as relações entre a atividade econômica e os recursos naturais. Dessa forma, a pesquisa operacional visa simular a realidade por meio de um conjunto de variáveis que descrevem a dinâmica do sistema e que compõem uma função objetivo com suas distintas restrições (ACKOFF, 1979).…”
Section: Metodologiaunclassified