Agricultural Systems Modeling and Simulation

Humanization of decision support using knowledge acquired from simulation; simulation of biological processes; mathematical techniques in biological simulation; integrating spatial and temporal aspects of a simulation - an energy example; modelling processes and operation with linear programming; expert systems for self-adjusting process simulation; evaporation models; use of crop simulation in management GOSSYM/COMAX; integrated methods and models for deficit irrigation planning; GRAZE - a beef-forage model of selective grazing; dynamical models and their application to optimizing grazing management; modelling and simulation in applied livestock production science; the plant-animal interface in models of grazing systems; field machinery selection using simulation and optimization; whole-farm simulation of field operations; fundamentals of neural networks; artificial intelligence-based optimization using agents; simulation of crop growth - CROPGRO.