Analysis on Demands for Agricultural Science and Technology Based on Bayesian Network
Junfeng Li, Jiangao Niu · 2011
Bayesian network has many obvious advantages to speculate the likelihood of the event with the incomplete information. There are a lot of the factors of the demands for agricultural science and technology and the complicated mechanisms. Analyzing the decision effect of the various factors of the demands for agricultural science and technology, this paper makes the bayesian network model of the demands for agricultural science and technology. Uing the model, the paper finds the demand characteristics of science and technology during the new rural construction, and finds out the new appropriate development mode. This can be conducive to realize the integration and popularization of agricultural science and technology, and to speed up the process of the new rural construction.