Statistical Modelling of Soybean Crop Yield in Regions of Central India through Mathematical and Computational Approach

Sarvraj Singh; Dilpreet Tuteja; Param Tripathi; Chirag Basavaraj

doi:10.4236/ajcm.2014.45035

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AJCM> Vol.4 No.5, December 2014

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Statistical Modelling of Soybean Crop Yield in Regions of Central India through Mathematical and Computational Approach

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DOI: 10.4236/ajcm.2014.45035 2,699 Downloads 3,212 Views

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Sarvraj Singh^1*, Dilpreet Tuteja¹, Param Tripathi¹, Chirag Basavaraj²

Affiliation(s)

¹Jaypee University of Engineering & Technology, Guna, India.
²R.V. College of Engineering, Bangalore, India.

ABSTRACT

In this paper, we have discussed a number of fitting methods to predict crop yield of soybean depending on the nature of environment and a comparison is done between them on the basis of available data set. Later we have suggested a suitable method for the prediction of the crop yield on the basis of residual (error) terms. Statistical analysis is also used for getting the relationships between different components (variables) of available data set. At last, we have discussed about Chaos that can distort the whole mathematical analysis and a computational approach.

KEYWORDS

Climate Change, Prediction, Chaos, Uncertainty

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Singh, S. , Tuteja, D. , Tripathi, P. and Basavaraj, C. (2014) Statistical Modelling of Soybean Crop Yield in Regions of Central India through Mathematical and Computational Approach. American Journal of Computational Mathematics, 4, 406-413. doi: 10.4236/ajcm.2014.45035.

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