Modelling and Optimizing Little Millet Yield through Interval Regression Analysis

Author: Jyotiranjan Behera1and Mamata Kuila1* Department of Mathematics, Odisha University of Agriculture and Technology, Bhubaneswar -751003 (Odisha), India.(Corresponding author: Mamata Kuila*)

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Abstract

With the increase of people around the world, there is a shortage of land for agriculture. Increasing population on less land has increasingly become the subject of research. In this study our purpose is to identify the amount of fertilizers that should be applied to maximum production. Here we have utilized a quadratic programming approach to generate a yield response surface from the data provided from Little Milet Plantation. The response surface is a nonlinear interval valued function. Using interval valued response surface we have found the amount of fertilizers required for maximizing of yield.

Keywords

Interval regression, Optimum yield, Unconstrained Optimization, Nitrogen, Potassium. Mathematics Subject Classification: 90C20, 90C30, 62J02,65G40

Conclusion

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References

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How to cite this article

Jyotiranjan Behera and Mamata Kuila (2023). Modelling and Optimizing Little Millet Yield through Interval Regression Analysis. Biological Forum – An International Journal, 15(4): 1065-1070.