Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Bayesian Network Applied to the Analysis of Farmers’ Technical Demand

Authors
Haiyan Wang, Xiwu Shao
Corresponding Author
Haiyan Wang
Available Online July 2015.
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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Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.179How to use a DOI?
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/).

Cite this article

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  -