A Novel TDMKCC Model for decision making in e-Agriculture

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Published: Jun 26, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i5.3909
Keywords:
Text Data Mining, e-governance, e-Agriculture, Kisan Call Centre, Open data

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Krishna Kumar Verma
Department of Computer Science A.P.S. University, Rewa (M.P.)

Abstract

E-Agriculture is one of the wing of e-Governance and application of information communication technology (ICT) for improving the agriculture sector. The implementation, application and adoption of ICT along with utilization of data mining techniques over data generated by these services are necessary for sustainable development and continue growth in agricultural sector. Telecomm sector is playing an important role in e-Agriculture, which is very useful in problem/query identification and solving; this process is initiated as "Kisan Call Center (KCC)" in India. In this research paper a novel model "Text Data Mining for Kisan Call Centre (TDMKCC)" has been proposed for knowledge management. We have implemented this proposed model with the help of R-Tool, suggestions and recommendations are also discussed which will definitely help in improving decision making for sustainable growth in Farming or Cultivation practices.

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Vol. 8 No. 5 (2017): May-June 2017
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