Abstract
Abnormal climate events have caused agricultural production decrease and its supply insecurity. These problems, coupled with population growth, have led to food shortage. As a solution to such a situation, plant factories capable of producing farm products regardless of climate or location have garnered broader attention. In this research, we propose a ubiquitous computing-based intelligent plant factory system designed by improving the previous plant factory system with just a simple function of On/Off. The proposed system collects information on necessary environmental factors for plants growth, nutrient solution, etc. through sensors installed in a plant factory and infers contextual information through the ontology based on the collected data to provide corresponding appropriate services to users. In addition, this system supports various application platforms such as web PDA, smart phones, etc. so that users can access its service on the plant factory anywhere and anytime.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
UN world food programme (2012), http://ko.wfp.org
Park, S.C.: Green Agriculture and IT Fusion Cases of Korea Plant Factory. Journal of Korean Institute of Information Technology 9(1), 79–80 (2011)
Son, J.E.: Plant Factory - a Prospective Urban Agriculture. The Korean Society for Bio-Environment Control 2(1), 69–76 (1993)
Kim, J.H.: Trends and Prospects of Plant Factory. KREI Research report, vol. 61. Korea Rural Economic Institute, Seoul (2006)
Jeon, I.S., Min, J.H.: World Agriculture. KREI Research report: M45-118, Korea Rural Economic Institute, Seoul, Korea (2010)
Takamasamoto: Status of the Development of Complete Controlled Plant Factory. Electronic Engneering 8, 64–68 (2008)
Kim, Y.H.: Plant Factory Automation Systems and Technology Trends. KISTEP a Reserch Paper, Korea Institute of S&T Evaluation and Planning 5, 77–95 (2010)
Kim, J.W.: Trend and direction for plant factory system. Journal of Plant Biotechnology 37(4), 442–455 (2010)
Kim, Y.J., Han, H.S.: KREI agricultural administration Focus, vol. 49. Korea Rural Economic Institute, Seoul (2013)
Zato, C., De Paz, J.F., de Luis, A., Bajo, J., Corchado, J.M.: Model for assigning roles automatically in egovernment virtual organizations. Expert Systems with Applications 39, 10389–10401 (2012)
Pinzón, C.I., De Paz, J.F., Herrero, Á., Corchado, E., Bajo, J., Corchado, J.M.: idMAS-SQL: intrusion detection based on MAS to detect and block SQL injection through data mining. Information Sciences 231, 15–31 (2013)
Pinzón, C.I., Bajo, J., De Paz, J.F., Corchado, J.M.: S-MAS: An adaptive hierarchical distributed multi-agent architecture for blocking malicious SOAP messages within Web Services environments. Expert Systems with Applications 38, 5486–5499 (2011)
Protégé, http://protege.stanford.edu
JENA, A Semantic Web Framework for Java, http://jena.sourceforge.net
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hwang, J., Jeong, H., Yoe, H. (2014). Design and Implementation of the Intelligent Plant Factory System Based on Ubiquitous Computing. In: Ramos, C., Novais, P., Nihan, C., Corchado Rodríguez, J. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-07596-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-07596-9_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07595-2
Online ISBN: 978-3-319-07596-9
eBook Packages: EngineeringEngineering (R0)