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Semantic Web Based Agricultural Information Integration

Author

Listed:
  • Kaladevi Ramar

    (Jerusalem College of Engineering, Chennai, India)

  • Geetha Gurunathan

    (Jerusalem College of Engineering, Chennai, India)

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.

Suggested Citation

  • Kaladevi Ramar & Geetha Gurunathan, 2017. "Semantic Web Based Agricultural Information Integration," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 8(3), pages 39-51, July.
    • Handle: RePEc:igg:jaeis0:v:8:y:2017:i:3:p:39-51
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