Markovian Decision Problems Applied In Pest Control of Agriculture Production Systems

There are two kinds of processes: the deterministic ones, in which the behavior in time is known, and the stochastic ones, which is governed by density probabilities functions. A stochastic process is defined as a Markov Process if the future state depends only on the current state and not on the previous ones. Markov Chains are stochastic processes with Markov properties. They are applicable in several areas, including Logistics. This paper is concerned with the problem of pest behavior for agriculture. It will be presented the basic concepts of Markov Chains, as well as their analysis and properties. After that, it will be assessed some stochastic Markov processes found in literature. Finally this paper presents a proposal for a modeling of a pest behavior for an agriculture production system.