Multiple Information Fusion of Intelligent Wireless Agricultural Greenhouse Control System Research

Qiang Liu; Jun Wang; Shu Chen Yang

doi:10.4028/www.scientific.net/AMM.602-605.1451

Paper Titles

Research on the Simulation and Experiment of Self-Synchronization for Vibrating System by Two-Motor Driven with Isolation Frame
p.1434

Multiple Objects Tracking Based on Linear Fitting
p.1438

Relative Position Algorithm for Optimal Camera Placement of Large Scale Volume Localization System
p.1442

Design of a Five Car Stereo Garage Control System
p.1447

Multiple Information Fusion of Intelligent Wireless Agricultural Greenhouse Control System Research
p.1451

Design and Implementation of Intelligent Personnel Management System
p.1455

Research on New Automotive Drum Bench and Control System
p.1459

The Design Research of Inductance Sensor in the AMB Rotor System
p.1463

Research and Application on Central Air Conditioning Control System
p.1468

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Multiple Information Fusion of Intelligent...

Multiple Information Fusion of Intelligent Wireless Agricultural Greenhouse Control System Research

Abstract:

According to the characteristics of the greenhouse environmental control, application priority adjustment principle and fuzzy control theory, designed for greenhouse temperature, humidity, CO2 concentration and other environmental factors in the automatic control of intelligent wireless agriculture greenhouse control system. Using RTL8019AS chip access Ethernet, using TCP/IP protocol implementation and PC communication, intelligent controller using fuzzy control technology to the greenhouse temperature, humidity and so on, can satisfy the different sizes of the needs of the intelligent wireless agricultural greenhouses.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1451-1454

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1451

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Online since:

August 2014

Authors:

Qiang Liu*, Jun Wang, Shu Chen Yang

Keywords:

Fuzzy Control, Greenhouse Environment, Information Fusion

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* - Corresponding Author

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