Semantic Web Based Agricultural Information Integration

Semantic Web Based Agricultural Information Integration

Kaladevi Ramar (Jerusalem College of Engineering, Chennai, India) and Geetha Gurunathan (Jerusalem College of Engineering, Chennai, India)
DOI: 10.4018/IJAEIS.2017070103

Abstract

Huge volume of information is available in the WWW. 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 that how to integrate the available and heterogeneous agricultural information to deliver better production. The information on the web is syntactically structured but, the need is to provide semantic linkage. The semantic web supports the existing web to easily process and interpret information. In this paper, a semantic based Agricultural Information System (AIS) is proposed which 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.
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Agriculture is an essential domain, which is entrenched in our lives and economy. To fulfill the food demands of the increasing population and to improve the economy of the nation, existing agriculture systems need to cope up with emerging technological inventions. Various information systems based on semantic web techniques to improve the agriculture production are discussed below.

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