Advertisement

Prediction of Productivity of Mustard Plant Using Variable Reduction and Artificial Neural Network Model

  • Satyendra Nath Mandal
  • J. Pal Choudhury
  • Debasis Mazumdar
  • Dilip De
  • S. R. Bhadra Chaudhuri
Part of the Communications in Computer and Information Science book series (CCIS, volume 250)

Abstract

The productivity of mustard plant is dependent on huge number of time dependent parameters. But many of them are not significant or they are highly correlated with others parameters. Some parameters playing significant role in growth of the plant and give the information which is mandatory but not correlated with the others. So, same result can be produced by fewer parameters instead of considering all parameters. In this paper, an effect has been made to reduce the significant environmental parameters which have dominated the growth of mustard plant using principal component and factor analysis. These two methods have been used as variable reduction model. The artificial neural network has been applied on highly significant parameters to predict the shoot length of mustard plant. The linear equation has been used to find the shoot length at maturity. Finally, the productivity of the plant has been predicted based on shoot length of the plant at maturity.

Keywords

Environmental Parameters Principal Component Analysis Factor Analysis Significant Parameters Artificial Neural Network 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Shashua, A.: Intor. to Machine Learning. Lecture 9: Algebraic Representation I: PCA (scribe), pp. 1–9 (2003) Google Scholar
  2. 2.
    Anderson, T.W.: Principal Components. In: An Introduction to Multivariate Statistical Analysis, ch. 11, pp. 451–460Google Scholar
  3. 3.
    Rammel, R.J.: Understanding Factor Analysis. A Summary of Rummel’s Applied Factor Analysis (1970) Google Scholar
  4. 4.
    Mandal, S.N., Pal Choudhury, J., De, D., Bhadra Chaudhuri, S.R.: A framework for development of Suitable Method to find Shoot Length at Maturity of Mustard Plant Using Soft Computing Model. International Journal of Computer Science and Engineering 2(3), 113–120Google Scholar
  5. 5.
    Mandal, S.N., Pal Choudhury, J., Bhadra Chaudhuri, S.R., De, D.: A framework to Predict Suitable Period of Mustard Plant Considering Effect of Weather Parameters Using Factor and Principal Component Analysis. International Journal of Information Technology & Knowledge Management I(II), 303–309Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Satyendra Nath Mandal
    • 1
  • J. Pal Choudhury
    • 1
  • Debasis Mazumdar
    • 2
  • Dilip De
    • 3
  • S. R. Bhadra Chaudhuri
    • 4
  1. 1.Kalyani Govt. Engg CollegeKalyani, NadiaIndia
  2. 2.Dept. o f Agric. StatisticsB.C.K.VKalyani, NadiaIndia
  3. 3.Bidhan Chandra Krishi ViswavidyalayaKalyani, NadiaIndia
  4. 4.Dept. of ETCBESUHowrahIndia

Personalised recommendations