Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)

How Trade-off between increasing crop yield and privacy protection

Authors
Ling Li
Corresponding Author
Ling Li
Available Online July 2017.
DOI
10.2991/essaeme-17.2017.171How to use a DOI?
Keywords
Predictive Planning System ,Privacy Protection,Cloud Computing,Artificial Intelligence
Abstract

Advances in technology has improved the precision of seed,allowing farmers to use fewer loads of fertilizer and helping them saving an amount of money.But these applications of technology relies on the data from farmers.As a result,many farmers worried about these data will be misused by these service providers.Governments and some professional institutions should take actions or perfect regulations or legal terms to protect farmers' privacy.Cloud computing can be another alternative for farmers in terms of flexibility.But it will bring about the same privacy problem.And technological methods like artificial intelligence can be applied to the practice.

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/).

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Volume Title
Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
978-94-6252-367-8
ISSN
2352-5398
DOI
10.2991/essaeme-17.2017.171How 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  - Ling Li
PY  - 2017/07
DA  - 2017/07
TI  - How Trade-off between increasing crop yield and privacy protection
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.171
DO  - 10.2991/essaeme-17.2017.171
ID  - Li2017/07
ER  -