Abstract
The Semantic Web technology is an efficient mechanism to query or infer knowledge on a global scale using the internet by providing logical reasoning through rule based system. In this paper application of semantic web technology is discussed in context of agriculture knowledge management and delivery. In agriculture, adoption of newly developed technology is essential to enhance crop production. However, timely dissemination of authenticated agriculture information for decision making at larger scale to diversified end user has always been a challenge due to several reasons. One of the reasons is storing and delivering agriculture knowledge in machine readable form. In this paper a frame work based on semantic web is presented for collection, storing and updating of agricultural information at centralized location and delivering knowledge through intelligent decision support system through semantic web. The frame work utilizes rule based system for querying information from agriculture knowledge base.
Highlights
Agricultural research ensures food security of a nation
A frame work and rule based system is presented for decision making in wheat production management through semantic web
This paper presents an intelligent Decision Support Systems (DSS) based on semantic web for facilitating the decision making in wheat production management
Summary
Agricultural research ensures food security of a nation. Developing agricultural technology and its dissemination to end user is the only option for sustainable agriculture development. The timely communication of newly developed research based technology to end-user for adoption is a challenge. Feasible decision making requires access to latest relevant information to use appropriate technology, methods. The Semantic Web shares many goals with Decision Support Systems (DSS) mainly to interpret information precisely to deliver relevant reliable and accurate information to a end user irrespective of time and location. A frame work and rule based system is presented for decision making in wheat production management through semantic web.
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