Gestão de Risco nas Pequenas Propriedades Rurais

Abstract

In practice, risk analysis comprises predicting the future from the knowledge of the past, which requires statistical knowledge and a large database Dice. The basic idea of ​​the analysis is to identify the sources of uncertainty that affect the production and, from the behavior patterns they had in the past, infer for possible future patterns. With the computational evolution, the analyzes became even more feasible. However, the biggest challenge today in Brazilian agriculture is how to capture data in a efficient so that these analyzes have sufficient reliability to help, in fact, the producer in decision making. Experience shows that it is not common to find properties with a systematized database of their achievements, but one can already see large properties concerned with how to have information on the entire process productive quickly.