Method on virtual crop system modeling based on agent technology

Abstract

On the basis of adequate understanding the significance of virtual crops research, according to the research state and characteristics of virtual crops' typical modeling methods at home and abroad, a new modeling thoughtway of virtual crops system was put forward based on Agent technology. This method established crops self-learning system based on neural network. It is helpful to understand crop's structural and physiological rule, and to simulate the interaction influnce both between crop and crop and between crop and environment effectively. This research provided a new test platform for Agent technology's verification and perfection which is of great significance academically as well as practically. © 2009 Springer Science+Business Media, LLC.