Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

Research on Information Fusion Strategy of Animal Husbandry Ecological Management Platform

Authors
Jing Fu, Jian Wu, Dan Wang, Hongmei Luo
Corresponding Author
Jing Fu
Available Online January 2018.
DOI
10.2991/macmc-17.2018.15How to use a DOI?
Keywords
Animal husbandry; information integration; ecological engineering; countermeasures
Abstract

Starting from the actual background of animal husbandry as an important basic industry of social economy, the information fusion industry alliance member enterprises build the industry knowledge base in the process of building livestock ecological management platform. This paper takes into account the uncertainty of competition or cooperation among members, which requires a game analysis involving some participants in the process. The purpose is to guide and improve the theory of ecological engineering in china. According to the results of the analysis, this paper gives a series of corresponding management inspiration.

Copyright
© 2018, 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 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
10.2991/macmc-17.2018.15
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.15How to use a DOI?
Copyright
© 2018, 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  - Jing Fu
AU  - Jian Wu
AU  - Dan Wang
AU  - Hongmei Luo
PY  - 2018/01
DA  - 2018/01
TI  - Research on Information Fusion Strategy of Animal Husbandry Ecological Management Platform
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 64
EP  - 68
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.15
DO  - 10.2991/macmc-17.2018.15
ID  - Fu2018/01
ER  -