Abstract
Though, once, agriculture had a major contribution in our GDP, day by day its contribution is rapidly decreasing. The paper proposed a decision making model to maximize agricultural production under the uncertain environment dominated by flood. In Bangladesh flood plays a vital role negatively for agricultural production where all inputs (seeds, credit, fertilizer, irrigation) are considered here certain except land that is affected by flood. The proposed method uses stochastic liner programming model under flood uncertainty which can be determined by Markov chains. The model primarily intended to measure the probability of flood frequency.