Modeling of Internal Context for agriculture in Pervasive Environment
Sini Anna Alex1, Anita Kanavalli2

1Sini Anna Alex, Assistant Professor in Computer Science Department of M S Ramaiah Institute of Technology
2Anita Kanavalli, Head of Computer Science Department of M S Ramaiah Institute of Technology.
Manuscript received on 25 August 2019. | Revised Manuscript received on 15 September 2019. | Manuscript published on 30 September 2019. | PP: 420-423 | Volume-8 Issue-11, September 2019. | Retrieval Number: K13830981119/2019©BEIESP | DOI: 10.35940/ijitee.K1383.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Context Awareness is an essential feature in the pervasive computing systems. Internal and external context will play a major role. Internal context modeling using OWL for precision agriculture is described here. This provides an upper context ontology which captures general concepts about basic context. The modeling grows in a domain specific hierarchical manner. Visualization of the model is incorporated in this paper to check the consistency of context information. In this paper we have designed a model for agricultural farming interface and created stories using SAP Lumira tool. This helps farmers in analyzing and visualizing the effect and when to change the strategy of farming. This paper discuss the importance of using ontology measures for modeling context information and presents the design, implementation and applications of an interpreter based on ontology. The proposed model infers new internal context information and the effect of visualization models in farming.
Keywords: Context aware, Lumira, Ontology, Nutrient analysis.
Scope of the Article: