Title :
Service oriented approach for decision support systems
Author :
Nada, Ayman ; Nasr, Mona ; Salah, Marwa
Author_Institution :
Expert Syst. Dev. Dept., CLAES, Giza, Egypt
Abstract :
Decision Support System has been applied to solve variety of agricultural problems. It provides the framework that allows both the decision-makers and farmers to make good decisions. Decision support systems (DSS) use databases, human-machine to combine a large number of models to realize scientific decision-making. The environmental data plays a vital role in agriculture decision, which changes at a rapid rate. Keeping these data updated can be done by using a Service Oriented Approach (SOA). SOA is a kind of designing style which can share information between heterogeneous systems that solve the software integration expansion problem in a distributed environment. This paper presents that SOA used to get precise irrigation schedule for mango trees. Recent years SOA has the focus of attention, due to standards based on Web services that simplify interoperability, loose coupling and reuse. One of the basic business motivations for implementing SOA today is achieving business agility, can help businesses respond more quickly and cost effectively to the dynamic and continues changes in market conditions.
Keywords :
Web services; agricultural engineering; decision support systems; integrated software; irrigation; open systems; service-oriented architecture; vegetation; SOA; Web services; agriculture decision; business agility; databases; decision support systems; distributed environment; environmental data; heterogeneous systems; human-machine system; information sharing; interoperability; irrigation schedule; mango trees; market conditions; scientific decision-making; service oriented approach; software integration expansion problem; Business; Decision support systems; Expert systems; Irrigation; Schedules; Service-oriented architecture; decision support system (DSS); service oriented architecture (SOA); services; web service composition;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International
Print_ISBN :
978-1-4799-4420-0
DOI :
10.1109/ITAIC.2014.7065081