Dry and wet spell probability by Markov chain model- a case study of North Lakhimpur (Assam), India

@article{Dabral2014DryAW,
  title={Dry and wet spell probability by Markov chain model- a case study of North Lakhimpur (Assam), India},
  author={Paritosh Dabral and Kuntal Purkayastha and Mai Lan Aram},
  journal={International Journal of Agricultural and Biological Engineering},
  year={2014},
  volume={7},
  pages={8-13},
  url={https://api.semanticscholar.org/CorpusID:131601920}
}
  • P. DabralK. PurkayasthaM. Aram
  • Published 30 December 2014
  • Agricultural and Food Sciences, Environmental Science
  • International Journal of Agricultural and Biological Engineering
The analysis showed that monsoon starts effectively from week 23rd (4th June to 10th June) in North Lakhimpur, India and is ideal time for initiation of wet land preparation for growing long duration rice variety.
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