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Design of the Farmer's Experience Based Greenhouse Operating Systems

Authors: Aekyung Moon; Sangho Lee;

Design of the Farmer's Experience Based Greenhouse Operating Systems

Abstract

In this study, we introduce convergence technologies of agriculture and USN (Ubiquitous Sensor Network) technologies for collecting and controlling plant growing status according to microclimate around plants. In order to optimize the greenhouse cultivation environmental control, greenhouse operating system gathers greenhouse environment information from various sensors and provides appropriate control functions using various actuators. With this viewpoint, we develop greenhouse operating system using standard communication protocol, it can collect information and control microclimate effectively through several greenhouse control gateway. The developed greenhouse operating system controls automatically microclimate inside greenhouse based on farmer's experience. In the future, we expect that the proposed greenhouse operating system will be effective for collecting environment data of various types of greenhouse and the farmer can set different desired microclimate levels depending on certain conditions using greenhouse operating system.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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