This paper applies Markov's theory of stochastic processes (Graph theory) to identify the
probability of the machine-tractor aggregate being in each of the machine states adopted by the model. It features a graph of the states of a machine-tractor aggregate (Machine-status) operating in plant growing that allows us to determine the probability of the aggregate being in any of the states considered as basic. It proves that with the increase in the level of reliability of the aggregate, in this case its flawless performance, represented by the non-intermittent operation time indicator (time for trouble-free work), the probability that the aggregate will be in a functional state increases.
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