Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

The Informatization Management Research of Large-Scale Pig Farm'S Healthy Aquaculture

Authors
Lifen Wang, Mingtao Ma
Corresponding Author
Lifen Wang
Available Online October 2017.
DOI
10.2991/meici-17.2017.136How to use a DOI?
Keywords
Informatization; Information management system; Healthy breeding
Abstract

This thesis pays attention to the study of actual situation of China's large-scale farms. Additionally, the information management system of pigs' health and cultivation has been developed to strengthen management level of healthy pigs, prevent epidemics, ensure the products quality of pigs, raise the scale, increase the output and input ratio and accelerate the development of aquaculture. The management system has mainly realized the pigs' breeding with assistance of computers, the management of disease, feeding and finance and other functions in the large-scale pig farms.

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
978-94-6252-412-5
ISSN
1951-6851
DOI
10.2991/meici-17.2017.136How to use a DOI?
Copyright
© 2017, 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  - Lifen Wang
AU  - Mingtao Ma
PY  - 2017/10
DA  - 2017/10
TI  - The Informatization Management Research of Large-Scale Pig Farm'S Healthy Aquaculture
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 689
EP  - 692
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.136
DO  - 10.2991/meici-17.2017.136
ID  - Wang2017/10
ER  -