• DocumentCode
    2287870
  • Title

    Application of PCA and Factor Analysis for Predicting Suitable Period for Mustard Plant

  • Author

    Mandal, Satyendra Nath ; Choudhury, J. Pal ; Chaudhuri, S. R Bhadra ; De, Dilip

  • Author_Institution
    Dept. of l.T, Kalyani Govt. Engg Coll., Kalyani
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    778
  • Lastpage
    782
  • Abstract
    The major objective of cultivation is to produce maximum amount of seeds. During the year, the farmers are not cultivating same type of seeds. They plant different corn in different month within a year. If the information related to proper time within year of corn plantation is available before time, the planners of the state in various fields find it easy to perform their work in various fields related to them. The growth of plant dependent on environment parameters like nature of soil, temperature (maximum and minimum), humidity (maximum and minimum) and rainfall, soil moisture, sun rays etc. The nature of soil is overall West Bengal, India, morel less same. But other parameters vary from place to place. In this paper, an effort has been made to predict the suitable time period within a year for mustard plant by considering the total effect of maximum and minimum temperature, rainfall, maximum and minimum humidity, soil moisture, and sun sine using the method of factor analysis and principal component analysis.
  • Keywords
    agriculture; crops; mathematics computing; principal component analysis; PCA; corn plantation; factor analysis; mustard plant; principal component analysis; seeds; Agriculture; Covariance matrix; Educational institutions; Eigenvalues and eigenfunctions; Humidity; Matrix decomposition; Principal component analysis; Soil moisture; Sun; Temperature; Environment parameters; Factor Analysis; Plant parameter; Principal Component Analysis; Total Effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-0-7695-3504-3
  • Type

    conf

  • DOI
    10.1109/ICCEE.2008.193
  • Filename
    4741089