Computer Aided Modeling of Aquaculture Plants

Abstract

Abstract Mathematical modelling of dyanamic processes is often considered an intricate and timeconsuming task. Program packages for simulation, time series analysis and identification in combination with modern data logging equipment allow the task to be handled in a simpler and more efficient way This paper gives a short description of the different tools, and one example illustrates how a stochastic growth model and a simulation program can be utilized to simulate the weight distribution of fish in an aquaculture plant as a function of time, temperature and feeding level. The model allows for stochastic variation in all parameters and input variables and may be utilized among plant managers for examination of production strategies and among researchers to study the key variables affecting growth