SAGRO-Lite: A Light Weight Agent Based Semantic Model for the Internet of Things for Smart Agriculture in Developing Countries

Part of the Studies in Computational Intelligence book series (SCI, volume 941)


The recent advancement of the Internet of Things (IoT) has led to the possibilities to process a large number of sensor data streams built upon large-scale IoT platforms. In developed countries IoT is already emerged successfully as a reasonable technique assuring the goal of self-complacency, hybrid and advanced decisions and computerization in the horticulture industry. Instant adoption of IoT in farming is impractical in developing nations because of less literacy, hesitance towards technology, smaller farm sizes and high cost of IoT farming solutions. Through a light weight IOT specifically focused on farming style of developing countries like India, farmers can increase their quality of farming by the use of this technology. The authors have developed a semantically enriched agent based model called Agent Based Semantic Model for Smart Agriculture, ABSMSA which uses SAGRO-Lite, a light weight ontology designed by the authors for specific farming characteristics in developing countries. The system uses two more ontologies the IoT-Lite and Complex Event Service Ontology (CESO) for semantic sensing and event recognition and handling.


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Authors and Affiliations

  1. 1.Department of Basic SciencesBabuBanarasi Das UniversityLucknowIndia
  2. 2.Department of Information TechnologyBabuBanarasi Das National Institute of Technology and ManagementLucknowIndia
  3. 3.Department of Computer ScienceBabuBanarasi Das UniversityLucknowIndia

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