|
|
|
|
| |
|
|
| Nääs,Irenilza de Alencar; Romanini,Carlos Eduardo Bites; Salgado,Douglas D'Alessandro; Lima,Karla Andrea Oliveira; Vale,Marcos Martinez do; Labigalini,Marcelo Ricardo; Souza,Silvia Regina Lucas de; Menezes,Adriana Gomes; Moura,Daniella Jorge de. |
| Global warming is affecting agribusiness in its economic aspects. Therefore, the prediction of the evolution of Brazilian beef cattle production cost was made using the IPCC forecast scenario for global warming. The methodology consisted of two steps: (i) the development of a fuzzy model that estimated the grazing land capacity (RP) decrease risk as a function of the changes in the average total rain index, air temperature and increase in extension of the dry season; and (ii) the design of an algorithm for predicting the decrease in production as function of the RPfuzzy model, that results in the impact in beef cattle productivity, and consequent increase in production costs. Historical environmental data from important producing counties in the Cerrado... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Dry season; Environmental temperature; Fuzzy simulation; Mathematical modeling. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000100001 |
| |
|
| |
|
|
|
