PRECISION CORN FERTILIZER MODEL BASED ON COMBINATION FORECASTING METHOD

摘要：

Precision fertilization is the core content in precision agriculture. However, the existing precision fertilization models are unstable and strict environmental conditions are required. To solve those problems mentioned above, combination forecasting is proposed. In this paper, fertilizer effect function method and neural network model are applied to predict the fertilizer amount respectively, which then are integrated by the weighted combination forecasting method. Through the application of information entropy theory, based on combination forecasting, corn precision fertilizer model is built. The results show that fertilizer amount based on the combination forecasting model is more stable and practical than the amount based on single fertilization model and the relative errors decrease by 10％~20％ compared with the single forecasting methods. Finally, this article discussed the character of combination forecasting model and its application prospect in agricultural production. All steps are implemented in the Matlab7.0 environment.

关键词： combination forecasting method entropy method fertilizer forecast matlab7.0

作者: GUIFEN CHEN HENGQIANG SU CHUNRAO ZHU

作者单位: College of Information Technology,Jilin Agricultural University,Changchun,Jilin Province,P.R. China College of Information Technology,Jilin Agricultural University,Changchun,Jilin Province,P.R. 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: 1-9

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）