  In this paper we study the measure-theoretical entropy of the one-dimensional
linear cellular automata (CA hereafter) $T_{f[-l,r]}$, generated by local rule
$f(x_{-l},...,x_{r})= \sum\limits_{i=-l}^{r}\lambda_{i}x_{i}(\text{mod}\ m)$,
where $l$ and $r$ are positive integers, acting on the space of all doubly
infinite sequences with values in a finite ring $\mathbb{Z}_{m}$, $m \geq 2$,
with respect to a Markov measure. We prove that if the local rule $f$ is
bipermutative, then the measure-theoretical entropy of linear CA $T_{f[-l,r]}$
with respect to a Markov measure $\mu_{\pi P}$ is $ h_{\mu_{\pi
P}}(T_{f[-l,r]})=-(l+r)\sum\limits_{i,j=0}^{m-1}p_ip_{ij}\text{log} p_{ij}.$
