SAGRO-Lite: A Light Weight Agent
Based Semantic Model for the Internet
of Things for Smart Agriculture
in Developing Countries
Gaurav Kant Shankhdhar, Richa Sharma, and Manuj Darbari
Abstract 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.
G. K. Shankhdhar
Department of Basic Sciences, BabuBanarasi Das University, Lucknow, India
R. Sharma
Department of Information Technology, BabuBanarasi Das National Institute of Technology and
Management, Lucknow, India
M. Darbari (B)
Department of Computer Science, BabuBanarasi Das University, Lucknow, India
e-mail: manuj_darbari@acm.org
© Springer Nature Switzerland AG 2021
R. Pandey et al. (eds.), Semantic IoT: Theory and Applications, Studies in Computational
Intelligence 941, https://doi.org/10.1007/978-3-030-64619-6_12
265
Based Semantic Model for the Internet
of Things for Smart Agriculture
in Developing Countries
Gaurav Kant Shankhdhar, Richa Sharma, and Manuj Darbari
Abstract 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.
G. K. Shankhdhar
Department of Basic Sciences, BabuBanarasi Das University, Lucknow, India
R. Sharma
Department of Information Technology, BabuBanarasi Das National Institute of Technology and
Management, Lucknow, India
M. Darbari (B)
Department of Computer Science, BabuBanarasi Das University, Lucknow, India
e-mail: manuj_darbari@acm.org
© Springer Nature Switzerland AG 2021
R. Pandey et al. (eds.), Semantic IoT: Theory and Applications, Studies in Computational
Intelligence 941, https://doi.org/10.1007/978-3-030-64619-6_12
265