Semantic Web-based Turmeric Expert System using IWD Algorithm

Semantic web is a structured way of re-usable data representation that can be used for inferring new knowledge. It provides a common data format for data representation. And it also provides semantics through structured information. Agriculture involves a vast variety of unstructured information. Normally agricultural experts, with their vast experience, provide critical advice in their farming activity. Machine learning algorithms acquire knowledge in the same manner as that of a human expert acquires knowledge with experience. In the present paper, an expert advisory system is simulated using machine learning algorithm for providing expert advice to the end users. A critical study is conducted for understanding the semantic web stack and an attempt has been made to design and develop an expert system namely, "Semantic Web-based Turmeric Expert System using IWD Algorithm". The proposed system has two modules namely, expert advice module and information system module. The Advisory system takes certain details from the end users, regarding their crop and provides the suitable advice. In the present paper, only yield assessment module was considered. Yield estimation system uses Intelligent Water Drops (IWD) algorithm to estimate the yield for each crop variety. Information system provides information about Turmeric crop varieties, parts, pests, pesticides, symptoms and diseases. Protégé is used to develop Ontology. JENA framework is used to retrieve information from Ontology. SWRL rules are implemented to infer rules from the data