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2023, Vol. 8, Issue 5, Part B

Regression models for forecasting pulses area and production in India


Author(s): Pooja, Vishal Mehta, Sandeep Kumar and RR Kushwaha

Abstract:
India is the largest producer as well as consumer of pulses. In spites of highest position of India in the production of pulses, it is importing 3-4 million tonnes (MT) of pulse every year to meet its domestic demand. Pulses are grown in an area of 22-23 million hectares with an annual production of 13-18 MT. This is about 124355 tonnes (32.72%) of the total production in the year of 2012- 13 (Ministry of Agriculture, GOI, 2013-14). Estimating crop production and predicting crop area are the key ways to take the necessary actions to preserve food security and solve environmental issues. Crop production forecasting is the skill of predicting the future values of produced crops before they are harvested. In this study, the main objective was to develop a clear portray about the area and production of pulses in India. The art of anticipating the future values of cultivated crop in advance before its harvest is called as forecasting of crop production. In this study, the main objective was to develop a clear portray about the area and production of pulses in India. The state with largest area under Pulses cultivation is Rajasthan (6.34 million hectares), Madhya Pradesh (4.76 million hectares), Maharashtra (4.19 million hectare), Karnataka (3.11 million hectares) and Uttar Pradesh (2.37 million hectares). Regression modeling was applied for both area and production of Pulses in India for a period 71 years (1951-2021) using linear, logarithmic, quadratic, cubic, power and exponential models. The results concluded that cubic model shown better performance compared to other models for prediction of area and production of pulses for India with maximum accuracy.


Pages: 109-115 | Views: 367 | Downloads: 35

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Pooja, Vishal Mehta, Sandeep Kumar, RR Kushwaha. Regression models for forecasting pulses area and production in India. Int J Stat Appl Math 2023;8(5):109-115.

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