Interfacing simulation models for predicting profitability of irrigated gain sorghum

Abstract

A network-discrete event simulation model written in SLAM II is interfaced with a plant growth model to examine the impact that irrigation equipment failures have on crop production and profitability under irrigation scheduling of grain sorghum. The SLAM II simulation language provides a means of combining discrete and/or continuous simulation models with “real world” network interaction of the models. Results indicate that the timing and duration of the breakdown of irrigation equipment can have a significant impact on the profitability of irrigated grain sorghum.