Modeling Smart Agriculture using SensorML

IoT is transforming the physical world into a digital world by connecting people and things. This paper describes state of the art domains where IoT is playing a key role. Smart agriculture is selected as a case study of IoT application domain. OGC sensor web enablement framework is studied and discussed its application for smart agriculture. This paper mainly focuses on modeling the smart agriculture system using SensorML of OGC. It also identified, developed and modeled few major components/sub-systems/systems required for smart agriculture. This study also demonstrated how SensorML can be utilized in modeling IoT enabled systems.

[1]  Chundong She,et al.  AgOnt: Ontology for Agriculture Internet of Things , 2010, CCTA.

[2]  Shensheng Zhang,et al.  A case study of an inter-enterprise workflow-supported supply chain management system , 2005, Inf. Manag..

[3]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[4]  Katiyar Vivek,et al.  An Intelligent Transportation Systems Architecture using Wireless Sensor Networks , 2011 .

[5]  Duan Yan-e,et al.  Design of Intelligent Agriculture Management Information System Based on IoT , 2011, 2011 Fourth International Conference on Intelligent Computation Technology and Automation.

[6]  Fan Tong-ke Smart Agriculture Based on Cloud Computing and IOT , 2013 .

[7]  Sharul Kamal Abdul Rahim,et al.  RFID Vehicle Plate Number (E-Plate) for Tracking and Management System , 2013, ICPADS 2013.

[8]  Durk-Jouke van der Zee,et al.  Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics , 2009 .

[9]  L. Mainetti,et al.  RFID, EPC and B2B convergence towards an item-level traceability in the pharmaceutical supply chain , 2010, 2010 IEEE International Conference on RFID-Technology and Applications.

[10]  Giovanni Aloisio,et al.  Globus Monitoring and Discovery Service and SensorML for Grid Sensor Networks , 2006, 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE'06).

[11]  Xuan Yu,et al.  Pharmaceutical supply chain in China: current issues and implications for health system reform. , 2010, Health policy.

[12]  Terence L. van Zyl,et al.  Using sensorml to describe scientific workflows in distributed Web Service environments , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[13]  Honghui Fan,et al.  The Design of the Internet of Things Solution for Food Supply Chain , 2015 .

[14]  Katerina Pramatari,et al.  RFID-enabled traceability in the food supply chain , 2007, Ind. Manag. Data Syst..

[15]  Nengcheng Chen,et al.  Remote sensing satellite sensor information retrieval and visualization based on SensorML , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[16]  Yuval Levin Imagining the future. , 2004, New Atlantis.

[17]  Yong Liang,et al.  Study on the framework system of digital agriculture , 2003 .

[18]  Xu Cheng,et al.  Intelligent Urban Traffic Management System Based on Cloud Computing and Internet of Things , 2012, 2012 International Conference on Computer Science and Service System.

[19]  Li D. Xu Information architecture for supply chain quality management , 2011 .

[20]  Vlad Trifa,et al.  SOA-Based Integration of the Internet of Things in Enterprise Services , 2009, 2009 IEEE International Conference on Web Services.