Pre-harvest forecast models for rapeseed & mustard yield using principal component analysis of weather variables

Authors

  • MOHD AZFAR Deptt. of Agril. Statistics, Narendra Deva University of Agril. & Tech. Kumarganj, Faizabad (U. P.) – 224 229
  • B.V.S. SISODIA Deptt. of Agril. Statistics, Narendra Deva University of Agril. & Tech. Kumarganj, Faizabad (U. P.) – 224 229
  • V.N. RAI Deptt. of Agril. Statistics, Narendra Deva University of Agril. & Tech. Kumarganj, Faizabad (U. P.) – 224 229
  • MONIKA DEVI Deptt. of Agril. Statistics, Narendra Deva University of Agril. & Tech. Kumarganj, Faizabad (U. P.) – 224 229

DOI:

https://doi.org/10.54302/mausam.v66i4.583

Keywords:

Weather variables, Weather indices, Principal component analysis, forecast model

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Published

01-10-2015

How to Cite

[1]
M. AZFAR, B. . SISODIA, V. . . RAI, and M. . DEVI, “Pre-harvest forecast models for rapeseed & mustard yield using principal component analysis of weather variables”, MAUSAM, vol. 66, no. 4, pp. 761–766, Oct. 2015.

Issue

Vol. 66 No. 4 (2015): MAUSAM

Section

Research Papers

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