Distributed System Architectures, Standardization, and Web-Service Solutions in Precision Agriculture

Transcription

1 1 Distributed System Architectures, Standardization, and Web-Service Solutions in Precision Agriculture KATJA POLOJÄRVI Oulu University of Applied Sciences, School of Renewable Natural Resources, Oulu, Finland MIKA LUIMULA, PERTTI VERRONEN AND MIKA PAHKASALO CENTRIA Research and Development, RFMedia Laboratory, Ylivieska, Finland MARKKU KOISTINEN MTT Agrifood Research Finland, Plant Production Research, Vihti, Finland JOUNI TERVONEN Oulu Southern Institute, RFMedia Laboratory, University of Oulu, Ylivieska, Finland

2 2 Outline Introduction Background Motivation Research Focus Implementation of the system Locawe Platform System Architecture Conclusion Future Work Contact us, References

3 3 Introduction Background In precision agriculture, planning, execution, monitoring and assessment of farming processes are based on spatially referenced data decision-making requires data from many sources, e.g. farm based sensors, equipment and software partners, advisors, authorities external services and databases Improvements in crop production are achieved by using analyzed data in decision-making (Adapted from Pesonen et al. 2010).

4 4 Data requirements in precision farming, e.g. good quality and accuracy easy integration and transfer between different hardware, software, and information systems integrated analysis and transformation of data into useful information effective management of GIS data Farm management information system (FMIS) for precision agriculture

5 5 Suitable technologies for the implementation of FMIS for precision agriculture, e.g. Communication: SOAP, ISOBUS Data transfer XML (e.g., GML, ISOBUS-XML, AgroXML) Data storing: Relational and spatial databases (e.g, PostGIS) Geosensor networks (e.g., Nittel et al. 2004) Location platforms (e.g., Chu & Buyya 2007) Standards of Open Geospatial Consortium, e.g Sensor Web Enablement (SensorML) OpenGIS Location Service (GMS) OGC Web Services (WMS, WFS, WCS, WPS)

6 6 Motivation New methods for FMIS design available cf. research results achieved in InfoXT, CropInfra and FutureFarm projects (e.g., Pesonen et al. 2008) Currently there is a need for FMIS pilots and tests We will try to give our contribution to this discussion

7 7 Research Focus To develop and implement the acquisition, storage, transfer, and management of spatial agricultural data To demonstrate interoperable solutions for the FMIS by applying a location-based service platform and a technology of geosensor networks To assure the quality of spatial data by utilizing appropriate standards: ISO and OGC s standards

8 8 Implementation of the system Locawe Platform Location-aware system platform developed at CENTRIA Research and Development, Ylivieska, Finland Client-server solution for outdoor and indoor conditions Consists of mobile units and servers for services, e.g. tracking and communication Enables creation of user interfaces, which include location and sensor data, and different media formats

9 9 Locawe field experiments: Remote monitoring mobile robots (Luimula et al. 2010) Communication techniques in parallel learning (Sääskilahti et al. 2010) Route visualization techniques (Lehtimäki et al. 2008) Techniques for location selection (Luimula et al. 2007) Automatic rotation and zooming (Partala et al. 2006) Speed-dependent camera control in 3D mobile maps (Partala et al. 2009)

10 10 System Architecture AGRI VIEWER Local Weather GPS Locawe Server HTML WEB SERVER XML/ Compressed XML MTT SERVERS Proprietary protocol VEHICLE TASK CONTROLLER SOAP Client CAN SQL Database Web Feature Service XML XML/ Compressed XML LAPTOP CENTRIA Protocol UNDERGROUND GEOSENSOR NODES AGRI HANDLER GPS

11 11 Conclusion Basic functionality of the system architecture was demonstrated and tested. Interfaces fulfilled requirements for interoperability and scalability. The use of chosen standards tackled both interoperability and quality requirements.

12 12 Future Work Evaluation of a full performance in a near-deployment phase Implementation of new interfaces Web Coverage Service: delivery of the spatial data in raster format Web Processing Service: functionalities for geospatial processing of data Study of user acceptance and user experiences

13 13 Thank You for Your Attention! CONTACT US: KATJA POLOJÄRVI MIKA LUIMULA JOUNI TERVONEN MARKKU KOISTINEN Oulu University of Applied Sciences CENTRIA Research and Development Oulu Southern Institute MTT Agrifood Research Finland School of Renewable Natural Resources RFMedia Laboratory RFMedia Laboratory Plant Production Research Metsäkouluntie Vierimaantie 5 Vierimaantie 5 Vakolantie 55 FI Oulu FI Ylivieska FI Ylivieska FI Vihti FINLAND FINLAND FINLAND FINLAND katja.polojarvi@oamk.fi mika.luimula@centria.fi jouni.tervonen@oulu.fi markku.koistinen@mtt.fi oamk.fi/luova rfmedia.fi rfmedia.fi mtt.fi centria.cou.fi oei.fi

14 14 References Chu, X. & R. Buyya Service Oriented Sensor Web. In Mahalik, N. P. (Ed.) Sensor Network and Configuration: Fundamentals, Standards, Platforms, and Applications. Springer-Verlag, Germany 2007, pp Lehtimäki, T., T. Partala, M. Luimula & P. Verronen LocaweRoute: an Advanced Route History Visualization for Mobile Devices. Conference Proceedings of Advanced Visual Interfaces 2008: Luimula, M., K. Sääskilahti, T. Partala, S. Pieskä & J. Alaspää Remote Navigation of a Mobile Robot in a RFID augmented Environment. Personal and Ubiquitous Computing 2010 (14): Luimula, M., K. Sääskilahti, T. Partala & O. Saukko A Field Comparison of Techniques for Location Selection on a Mobile Device. In Proceedings of the Wireless Applications and Computing 2007 (IADIS): Nittel, S., A. Stefanidis, I. Cruz, M. Egenhofer, D. Goldin, A. Howard, A. Labrinidis, S. Madden, A. Voisard & M. Worboys Report from the First Workshop on GeoSensor Networks (SIGMOD) 2004(33): Partala, T., T. Flink, M. Luimula & O. Saukko Speed-dependent camera control in 3D mobile roadmaps. In Proceedings of International Conference on Intelligent Interactive Assistance and Mobile Multimedia Computing (IMC 2009): Partala, T., M. Luimula, & O. Saukko Automatic rotation and zooming in mobile roadmaps. In Proceedings of the 8 th conference on human-computer interaction with mobile devices and services (MobileHCI 06): Pesonen L., J. Kaivosoja & P. Suomi Täsmäviljely ja ravinteiden käytön tarkentaminen. Teho-hankkeen julkaisuja : Tehoa maatalouden vesiensuojeluun 5/2010: 53 p. Pesonen, L., H. Koskinen & A. Rydberg InfoXT User-centric mobile information management in automated plant production. Nordic Innovation Centre, Oslo, Norway. 105 p. Sääskilahti, K., O. Sippola, M. Luimula, J. Yli-Hemminki & T. Partala Location-based communication techniques in parallel learning between the classroom and the field. Int. J. Continuing Engineering Education and Life-Long Learning 2010(20):