The Research Of Parameter Estimation Of Crop Growth And Development Model Based On Pso Algorithm

摘要：

In order to optimize the parameters of nonlinear models of crop growth and development,particle swarm optimization (PSO) algorithm is used in the parameter estimation of the nonlinear system model, and is verified though parameter estimation of tomato growth and development model. With the help of good man-machine interface, the method will be more accurate,effective and convenient. Experiments show that: with this method, after the the parameter optimization of crop model and the simulation of dynamic process of tomato growth, compare the simulation values with measured values, the both having a good closeness of fit.

关键词： Crop Growth Simulation Model Parameter Estimation PSO Algorithm

作者: Hou Jialin Zou Bing

作者单位: Shandong Agricultural University,China

会议类型: 国际会议

会议名称: 第三届亚洲精细农业会议暨第五届智能化农业信息技术国际会议

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2009-10-14（万方平台首次上网日期，不代表论文的发表时间）