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A Statistical Study of Three Major Crops of India

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Rajani Devi, V. V. Haragopal
10.5120/ijca2017912868

Rajani Devi and V V Haragopal. A Statistical Study of Three Major Crops of India. International Journal of Computer Applications 158(9):16-24, January 2017. BibTeX

@article{10.5120/ijca2017912868,
	author = {Rajani Devi and V. V. Haragopal},
	title = {A Statistical Study of Three Major Crops of India},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {158},
	number = {9},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {16-24},
	numpages = {9},
	url = {http://www.ijcaonline.org/archives/volume158/number9/26936-2017912868},
	doi = {10.5120/ijca2017912868},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Agriculture is largest and important sector of Indian Economy. The major objective of this paper is to examine the production growth of food grains for different seasons for the sustainability of agricultural sector in the next decade. The analytics considers the data for the period of 2003-2016. The major conclusions drawn from this paper is that the various crop productions show that a major increase almost in total output over the years. This paper recommends some measures as a positive step to improve the production of crop of the agricultural sector in India.

References

  1. Mann, Prem S (1995) Introductory Statistics (2nd edition) Wiley.
  2. Trochim, William M.K (2006),”Descriptive Statistics”, Research Methods Knowledge Base.
  3. Jaccard. J; Becker, M.A.Wood.G (1984). “Pair wise multiple comparison procedures: A review”.
  4. Bailey R.A (2008) “Design of comparative experiments”. Cambridge University Press.
  5. Cochran, William G; Cox, Gertrude M (1992) Experimental Designs (2nd edition) New York: Wiley.
  6. Ronald A Fisher(1954) Statistical Methods for Research Workers(twelfth edition)
  7. Ajit Kaur Bhatia, Rajender Prasad, S.K Shama and Rajinder Kaur (2005), Statistical assessment of different crop rotations, Journal of Farming Systems Research & Development, 11 (2), 190-196.
  8. J S Dhekale, Rajendar Prasad and V K Gupta (2003), Analysis of intercropping experiments using experiments with mixtures methodology. Journal of Indian Society of Agricultural Statistics. 56 (3), 260-266.

Keywords

Major crops, Rice, Jowar and Maize ,Analysis of variance, Most common hoc tests ,Regression, Statistical significance.