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Prediction of Agriculture Growth and Level of Concentration in Paddy—A Stochastic Data Mining Approach

  • P. RajeshEmail author
  • M. Karthikeyan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 750)

Abstract

Data mining is the way of separating data from stunning perspectives, and along these lines, abstracting them into important information which can be used to construct the yielding and improvement possible results in cultivating. The destinations have been assented of solidness in paddy advancement and to expand the development of creation in a maintainable way to meet the nourishment prerequisite for the developing populace. In any farming fields, it for the most part, happens that at whatever point the choices in regards to different methodologies of arranging is viewed as, for example, season-wise rainfall, region, production and yield rate of principal crops, and so forth. In this paper, it is proposed to discover the forecast level of concentration in paddy improvement for different years of time series data utilizing stochastic model approach. Numerical examinations are outlined to help the proposed work.

Keywords

Data mining Time series data Normalization Distribution Agriculture and stochastic model 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceGovernment Arts CollegeChidambaramIndia
  2. 2.Department of Computer and Information ScienceAnnamalai UniversityChidambaramIndia

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