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Explore the role of MetBroker in predicting rice growth, pesticide use, farm management, and more through heterogeneous databases. Learn about the new architecture of brokers and their linkage methods. Access consistent data via Data Brokers Developed at APAN Honolulu 2004. Stay informed on weather conditions, mapping systems, soil databases, and more for effective decision-making.
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Present Status of Metbroker APAN Honolulu 2004 Seishi Ninomiya snino@affrc.go.jp National Agricultural Research Organization
Heterogeneous DBs Rice Growth Prediction A-DB MetBroker Pesticide Prediction B-DB Meta Data Farm Management C-DB Heterogeneity is absorbed by brokers (mediators) D-DB Solution by Data Broker APAN Honolulu 2004 • Database heterogeneity is a big issue in distributed environments • Data brokers provide consistent access to heterogeneous DBs
Data Brokers Developed APAN Honolulu 2004 • Meteorological DBs • MetBroker(14DB, >6000 stations) • Map DBs • ChizuBroker(3DB,Japan,NZ,World) • Digital Elevation DBS • DEMBroker(2DB,Japan 50m, World 1Km) • Soil DBs • SoilBroker
Clients MetBroker RMI or HTTP with wrapper servelet ChizuBroker DEMBroker WebService-SOAP/XML Resource Server Country Server New Architecture of Brokers APAN Honolulu 2004 Tight linkage based on Java objects XML-based Loose linkage
Field Server linked to MetBroker Client APP アプリケーション アプリケーション アプリケーション アプリケーション APAN Honolulu 2004 Weather DB 気象 W 気象 気象 DB DB DB DB Client APP アプリケーション アプリケーション アプリケーション アプリケーション 気象 気象 気象 気象 DB DB DB DB Weather DB MetBroker MetBroker MetBroker MetBroker MetBroker Client APP アプリケーション アプリケーション アプリケーション アプリケーション Weather DB 気象 気象 気象 気象 DB DB DB DB 気象 気象 気象 気象 DB DB DB DB FS Weather DB Weather Data XML FieldServerDB FieldServerDB FieldServerDB FS Data Archive Station Conf. XML
Interpolation Service APAN Honolulu 2004 WebService Client SOAP over HTTP DEMBroker DEM Broker RMI DB DB Interpolation SOAP Interpolation MetBroker DB DB SOAP MetBroker DB DB
Thank you for your attentionwww.agmodel.orgwww.agmodel.net APAN Honolulu 2004