Monitoring and Discrimination of Plant Disease and Insect Pests based on agricultural IOT

DOI

10.2991/icitmi-15.2015.21How to use a DOI?

Keywords

Plant disease and insect pests; Agriculture Internet of things (IOT); monitoring discriminant model; data mining and information fusion.

Abstract

How to establish a monitoring and discriminant model based on agriculture Internet of things (IOT) for plant disease and insect pests is a main topic. In this paper, we study the establishment of monitoring discriminant model by data mining and information fusion algorithm. Focus on the application of association rule mining and fuzzy reasoning information fusion in the monitoring plant disease and insect pests. Using environment information and the Apriori algorithm, a model is proposed to realize the real-time monitoring system of environmental parameters and the occurrence of plant diseases and insect pests.

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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TY  - CONF
AU  - X.F. Wang
AU  - Z. Wang
AU  - S.W. Zhang
AU  - Y. Shi
PY  - 2015/10
DA  - 2015/10
TI  - Monitoring and Discrimination of Plant Disease and Insect Pests based on agricultural IOT
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 112
EP  - 115
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.21
DO  - 10.2991/icitmi-15.2015.21
ID  - Wang2015/10
ER  -