Towards a Context Modeling for a Greenhouse Based on USN

摘要

Recently more than ever, because of further global warming, violent climate changes, environmental pollution and food problem researchers have taken a lot of interests in greenhouses and vertical farms in agricultural environments. Generally, works in greenhouses are based on situation information from various sensors based on USN. In this paper, we propose a context modeling method for a lot of situation information which can arise in agricultural environments. The suggested context modeling method can define a various data generated in greenhouses based on USN as structural contexts based on a rule-based RDF. Through the suggested modeling method, various sensed data in a greenhouse can be regenerated as high-level context sets. Because the high-level contexts can be usefully used as important service execution conditions, the suggested context modeling method can be widely applied to various smart agricultural service applications or platforms for greenhouses based on USN and IT technologies and raise efficiency in development of a context-aware system and a context-based service automation system.