Semantic Web-Based Agricultural Information Integration

Abstract

A huge volume of information is available in the worldwide web. However, the demand is on relevant information rather than available information, which are often heterogeneous and distributed. Agriculture is one such domain, which includes information like soil, crops, weather, etc. under one roof. This information is in different representations and structures (e.g., weather). This scenario leads to a challenge of how to integrate the available and heterogeneous agricultural information to deliver better production. As the information on the web is syntactically structured, the need is to provide semantic linkage. The semantic web supports the existing web to easily process and interpret information. In this chapter, a semantic-based agricultural information system (AIS) is proposed that addresses heterogeneity issues among weather systems and integrates information like soil, weather, crop, and fertilizers. AIS helps the farmers regarding the type of crop/soil, crop/climate, fertilizer applications, diseases, and prevention methods using effective retrieval of information from integrated systems.