Dry spell probability by Markov chain model and its application to crop developmental stages

Authors

  • U. S. VICTOR
  • P. S. N. SASTRY

DOI:

https://doi.org/10.54302/mausam.v30i4.3092

Keywords:

Markov chain model, crop developmental, bajra crop

Abstract

A first order Markov chain model has been fitted to daily  rainfall data of tbe monsoon months in the Delhi region. Conditional probabilities, length of dry spells for different cumulative probabilities with particular reference to  developmental stages of bajra crop in the kharif season have been computed and illustrated by means of   nomograms.

Downloads

Published

01-10-1979

How to Cite

[1]
U. S. . VICTOR and P. S. N. . SASTRY, “Dry spell probability by Markov chain model and its application to crop developmental stages”, MAUSAM, vol. 30, no. 4, pp. 479–484, Oct. 1979.

Issue

Vol. 30 No. 4 (1979): MAUSAM

Section

Shorter Contribution

License

Copyright (c) 2021 MAUSAM

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.

Anyone is free:

  • To Share - to copy, distribute and transmit the work
  • To Remix - to adapt the work.

Under the following conditions:

  • Share - copy and redistribute the material in any medium or format
  • Adapt - remix, transform, and build upon the material for any purpose, even
    commercially.