会议专题

Optimization System Research on productive Project of Large-scale Farms Based on Genetic Algorithm

In precision Agriculture, it is a vital issue to precisely formulate the agricultural productive project, because it will affect the agricultural productive benefits. This paper uses an improved genetic algorithm to solve optimization issues of productive project of large-scale farm. We have adopted J2EE to develop management and optimization of web-based agricultural productive project, and then to fulfill optimal management of agricultural productive project. The achievement of this research will help to solve optimization issue of productive project of large-scale farms, to fulfill scientific and automation of crop productive project, to improve the optimization efficiency, and then to enhance economic and social benefits of large-scale farms. Thus it will eventually achieve the aim of precision agriculture.

genetic algorithm J2EE optimization management productive project large-scale farms

Yu Xiao Shen Weizheng

Engineering college Northeast Agriculture University Harbin, China

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

643-646

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)