MIOS: a decision tool for determination of optimal irrigated cropping pattern of a multicrop system under water scarcity constraints

Abstract

This paper develops a dynamic programming optimisation model that considers the competition of crops in a season, both for irrigation water and cultivated area. Decision variables are the cultivated area and water allocated to each crop. The objective function of the model is based on crop‐water production functions, production costs and crop prices. The model is solved using the CSUDP generalised dynamic programming package for conditions existing in northern Tunisia where a large fraction of the irrigation water is stored in a reservoir mainly during the winter period. The model gives the optimal distribution of area and water to each crop and the profit. Sensitivity analysis of the optimal solution to costs, area and changes in crop prices is carried out. The analysis results show that changes in prices and costs have a large impact on profits. Results indicate that the model can be a valuable tool for regional agencies or irrigation authorities in determining seasonal cropping pattern for a region at the beginning of the season. Copyright © 2002 John Wiley & Sons, Ltd.