Application of an Improved Apriori Algorithm in Intelligence Greenhouse System

DOI

10.2991/icaset-16.2016.7How to use a DOI?

Keywords

Greenhouse, Association rule, Apriori, Sensor

Abstract

To solve the problem that the accure data can't be pushed by the failure of local sensor in intelligence greenhouse system, it was presented that the Apriori algorithm which was based on association rule applied in the prediction of sensor fault data. Forcasting the greenhouse environment temperature is provided as an example in this paper, firstly, the classic Apriori algorithm is modified. Then it was used in the prediction of fault sensor data. The experimental results show that the improved Apriori algorithem could quickly find the association rule between the parameters in Greenhouse, thus estimated the range of the parameters of the fault sensor and the method could be proved to be feasible.

Copyright

© 2016, 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  - Xiao-guo Liu
AU  - Yu Chen
PY  - 2016/05
DA  - 2016/05
TI  - Application of an Improved Apriori Algorithm in Intelligence Greenhouse System
BT  - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
PB  - Atlantis Press
SP  - 40
EP  - 44
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-16.2016.7
DO  - 10.2991/icaset-16.2016.7
ID  - Liu2016/05
ER  -