Bayesian Network Applied to the Analysis of Farmers' Technical Demand

被引：0
|
作者：
Wang, Haiyan [1 ]
Shao, Xiwu [2 ]
机构：
[1] Jilin Agr Univ, Higher Educ Res Inst, Changchun 130118, Peoples R China
[2] Jilin Agr Univ, Coll Adm, Changchun 130118, Peoples R China
来源：
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015) | 2015年 / 126卷
关键词：
Bayesian Network; technical demand; individual differences;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The farmer is the main body of agricultural technology demand. The Bayesian Network method was adopted to entropy reduction and sensitivity analysis in this paper, we determined the order of the factors that influenced famers to adopt technology. Through related economic analysis, this paper believed that we must really understood the technical demand of farmers, master farmers' psychological characteristic and behaviors, analyze the problems in the using the technical. At the same time, we should stand on the farmers, carry out planned, this will reduce the risk of farmers to adopt new technology.
引用
收藏
页码：855 / 858
页数：4
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