Bayesian Network Applied to the Analysis of Farmers’ Technical Demand

DOI

10.2991/icismme-15.2015.179How to use a DOI?

Keywords

Bayesian Network; technical demand; individual differences.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiyan Wang
AU  - Xiwu Shao
PY  - 2015/07
DA  - 2015/07
TI  - Bayesian Network Applied to the Analysis of Farmers’ Technical Demand
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 854
EP  - 857
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.179
DO  - 10.2991/icismme-15.2015.179
ID  - Wang2015/07
ER  -