1. Sensor Networks (Field Servers and MeBroker) Takuji Kiura Masayuki Hirafuji Aatsushi Yamakawa Seishi Ninomiya National Agricultural Research Center

2. Field Server

3. UC Berkley, Smart Dust http://robotics.eecs.berkeley.edu/~pister/Sm artDust / TIN-AMEDES http://www.tini.org/ Sensor Network Nodes MICA DOT www.xbow.com

4. Sensor Network Nodes NEC Hitachi Mitsubishi Intel NASA

5. Field Server II (NARC) Case Acryl resin Core Field Server-Engine or PICNIC Sensors Temperature, Humidity, PPFD Soil moisture, Leaf-wetness UV, IR CO 2 Camera, Microscope Data-collection and AI Fieldserver-Agent Networking Wi-Fi AP, Fieldserver-Gateway GRID MetBroker

6. Multi-functional Airflow in Field Server 1.Cooling 2.Accurate Measurement Assmann's aspiration psychrometer Air-temperature Humidity 3.Sampling Gas (CO 2, NOx, SOx) Insects Microbes Virus Dusts Filter or Sampler

7. Accuracy

8. WDS & Wi-Fi Hotspot Hotspot Repeating by WDS (Wireless Distributed System) Cable Conventional Field Servers (Access-point, Continuously work) Solar-energy Driven Field Servers (Client connection, Intermittent work)

9. Full-Wireless Field Servers Intermittent Drive

11. Trial Sites of Field Servers

12. Field Server Model (by NECTEC) 8 channels Store to Compact Flash (up to 1GB) Time interval from 10 sec. to 24 hr. Easy, Cheap Battery backup

13. Field server-Agent for Data-Collection and Control XML rule-base Rule-base editor on Web Open DB Web

14. PC-Cluster Field server-Agent Web crawler & controller The Internet Web Server Cellar Cable ADSL VPN router Global IP Private IP FSG Firewall Private network of Field servers VPN:Field Server Gateway

15. Options for Field Servers Large Solar Panel Multi stack small solar Panel Insect counter Thermal Camera

16. Field Servers and MetBroker

17. Applications for MetBroker Rice growth model

18. MetBlastam Rice Blast Prediction Model Using MetBroker Infective condition

19. Field Servers linked to MetBroker DB DB DB DB FieldServerDB MetBroker DB DB DB DB FieldServerDB MetBroker DB DB DB DB FieldServerDB MetBroker WDB DB DB MetBroker Weather DB Field Server DB Client APP Weather DB Station Conf. XML Weather Data XML Field Server Data Archive

20. Demo for Spacial Access of MetBroker Field Servers

21. Field Server Data Different Type of Sensors, Time Resolution –Described in XML files (w/o standard) Semantic Problems –Sensors are added or removed –Time resolution may be changed. Small data size (1KB~10MB) for each.

22. MetBroker Adding new databases –writing new DB wrappers –Restarting MetBroker Adding new observation Items –Data Modeling for each item –Writing new data object for each item

23. System Overview (New MetBroker) Broker Decision-Making Support Services Operational Products Operational Products Simulation Models Simulation Models Detailed Digital Forecast Detailed Digital Forecast Inference Engine DB Wrapper Item Definition OWL Station metadata RDF Metadata database Meteorological databases DB Wrapper 2. Request 3. Request metadata 4. Request data 1. Register

24. Roles of the RDF/OWL files Description about all the weather stations included in a particular database RDFStation metadata Local vocabulary that is used in each database http://www.agmodel.org/Aclima.owl OWLItem definition All standard weather items Vocabulary to describe weather stations http://www.agmodel.org/MetBroker.owl http://www.agmodel.org/MetBroker.owl OWLBasic vocabulary ContentFile type Name

25. New MetBroker Adding new databases –writing Item Definition & Station Metadata Adding new observation Items –Adding new basic vocabraly

26. Field Servers linked to New MetBroker New MetBroker can integrate Field Server data with other weather database. New MetBroker can integrate other point data (data from other passive sensor networks). RDF/OWL technologies are useful for data integration in a specific and small problem domain i.e. meteorological data integration.

27. Storage/Application Web Server (Native XML-DB) Field server-Agents Web crawler Remote Controller The Internet Local network of Field servers Agricultural Sensor Grid Data Grid + Sensor Net + Active Database Agent Box Agent Server Rule-base Editor Meta-rule Agent GRID File System (Gfarm?) Metadata Service Ontology registry Local Agent, Storage and MetBroker ToDo Rule-base xml to RDF, OWL converter Separation Metadata service, Ontology registry, and MetBroker OGSA compliant Support XML-DB Data cashing Rule-based data pushing Rule-based data file creation and execution of existing programs etc.

28. Earth Observation Data Fusion Project (Japan, 2005-2007) 1.Data Service –Huge Database, Active Database 2.Ontology Registry –Seamless access to an application related data 3.Data Collection 4.Application

29. Field Servers at Tsukuba Style Festa http://model.job.affrc.go.jp/FieldServer/TsukubaStyleFesta.html Field Server WDS connection Wi-Fi HotSpot

30. Field Servers at Tsukuba Style Festa

31. Field Servers at Tsukuba Style Festa by Tsukuba University

32. Field Servers at Tsukuba Style Festa by Panasonic