Abstract
This paper proposed the Greenhouse Control System (GCS) for high adaptability in greenhouse control devices and application services. The system is divided into the Greenhouse Control Engine (GCE) and the Crop Growth Engine (CGE). The GCE consists of Data Aggregator (DA), Greenhouse Information Storage (GIS), and Greenhouse Control Agent (GCA). The GCA includes Information Analyzer (IA), Control Device Selector (CDS), and Greenhouse Model (GM). The GCA selects control devices by referencing the aggregated greenhouse’s information and the climate set-points. In this process, we apply the arbitrary greenhouse model to the GCA. And the CGE consists of Crop Status Information Storage (CSIS) and Crop Growth Agent (CGA). The CGA decides the climate set-points by applying the arbitrary crop growth model. The CGA has Crop Condition Predictor (CCP), Environment Set-points Decisioner (ESD), and Crop Growth Model (CGM). By interacting of each component, this system provides with the greenhouse control service and the crop growth prediction service. The greenhouse control service monitors the inside and outside climate of a greenhouse and controls the control devices of a greenhouse on the GCA. The crop growth prediction service predicts the crop growth status by considering the meteorological data and business data. Finally we showed the executing result by implementing the GCS.
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Baek, M. et al. (2013). A Novel Model for Greenhouse Control Architecture. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_28
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DOI: https://doi.org/10.1007/978-3-642-38027-3_28
Publisher Name: Springer, Berlin, Heidelberg
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