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Home / programming language / Online Dotnet Projects / Agriculture Information System
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Agriculture Information System

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SKU: PROJ3391 Categories: 2015 Projects, Final Year Projects, Online Dotnet Projects Tags: academic projects, Android project 2013-2014, Android project Abstract, Android project list, btech projects, dotnet project 2013-2014, dotnet project Abstract, dotnet project list, elysium technologies abstract, elysium technologies chennai, elysium technologies coimbatore, elysium technologies company, elysium technologies courses, elysium technologies erode, elysium technologies inpant traning, elysium technologies internship, elysium technologies jobs, elysium technologies madurai, elysium technologies mou, elysium technologies pondychery, elysium technologies projectlist, elysium technologies projects, elysium technologies ramnad, elysium technologies salem, elysium technologies software, elysium technologies tirunelveli, elysium technologies trichy, Final Year Projects, java projects 2013-2014, java projects Abstract, madurai software company, matlab project 2013-2014, matlab project Abstract, matlab project list, mtech projects, phd research work, Php project 2013-2014, Php project Abstract, Php project list, Power Electronic project 2013-2014, Power Electronic project Abstract, Power Electronic project list, project center Bangalore, project center chennai, project center coimbatore, project center Erode, project center Hyderabad, project center Kollam, project center madurai, project center Pandicherry, project center ramnad, project center Salem, project center Tiruneveli, project center trichy, research center, Students Projects, Vlsi project 2013-2014, Vlsi project Abstract, Vlsi project list
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Agriculture Information System

Abstract—Agriculture Information System. Existing agriculture information systems can meet general storage and general management requirements, however, on intensive management mode, users need to visit and gather resources and data in multiple heterogeneous information systems that distribute in different location of the web. These heterogeneous information systems not only have difference in platform construction, geography location, business logic storage mode, but also in area professional terminology. In this article, 3 levels of agriculture information systems integrated processing of systems heterogeneity, model heterogeneity and semantic heterogeneity were analyzed separately. Systems heterogeneity refers to different data sources of application system, database system, operation system and hardware platform; model heterogeneity means data sources differentiate in storage mode, semantic heterogeneity indicates information sources have differentiation in Semantics. Agriculture Information Bus (AI-Bus) model was proposed which including 4 levels that are service layer, protocol layer, < Final Year Projects > data layer and routing layer, and achieved rule oriented flexible mechanism, provided configurable process definition, heterogeneous differences of information system were diminished from systematic level and mode level. Since domain ontology has good concept layer structures and rich in semantic relationships, it is important in information resources gathering and knowledge expressing.

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