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

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Advances in Big Data and Cloud Computing

Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Authors and Affiliations

  1. Department of Computer Science, Government Arts College, C.Mutlur, Chidambaram, 608102, Tamil Nadu, India

    P. Rajesh

  2. Department of Computer and Information Science, Annamalai University, Annamalainagar, Chidambaram, 608002, Tamil Nadu, India

    P. Rajesh & M. Karthikeyan

Authors
  1. P. Rajesh
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  2. M. Karthikeyan
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Corresponding author

Correspondence to P. Rajesh .

Editor information

Editors and Affiliations

  1. Department of Computer Sciences Technology, Karunya Institute of Technology & Sciences, Coimbatore, Tamil Nadu, India

    J. Dinesh Peter

  2. Department of Civil and Environmental Engineering, University of Missouri, Columbia, MO, USA

    Amir H. Alavi

  3. School of Computing, Engineering and Mathematics, University of Western Sydney, Sydney, NSW, Australia

    Bahman Javadi

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Rajesh, P., Karthikeyan, M. (2019). Prediction of Agriculture Growth and Level of Concentration in Paddy—A Stochastic Data Mining Approach. In: Peter, J., Alavi, A., Javadi, B. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-13-1882-5_11

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