A Study on the Automatic Control Architecture with Conditional Results in Smartfarm System
AUTHORS
Anna Yang,
Hee-Dong Park,Korea Aerospace University, Joongbu University
ABSTRACT
With the advance of Information and Communications Technology (ICT), IoT technology is getting a great impact on human activities. As the gradual decline in agricultural labor due to the decreasing populations and aging in a rural area, development of agricultural technologies, a smart farm, based on ICT is considered as an alternative to improve productivity and food quality regardless of plant items. In this paper, we present a two-level architecture for a smartfarm automation suitable for an agriculture growth environment using collected conditional data in the intelligent smartfarm system. Using this architecture, it is possible to control many actuators automatically by deriving the conditional results from environment sensor data in a greenhouse. And, it can be extended to a high-level correlation function with consideration of operating status, soil quality, and regional characteristics and also provide scalability to the automation of fish-farming and livestock systems.
KEYWORDS
Smartfarm, Automation architecture, Conditional analysis, Correlation analysis, Hierarchical structure
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