Regression models for forecasting nutri cereals area and production in India
Author(s): Rama Shankar Yadav, Vishal Mehta and Gokul Krishnan KB
Abstract: Making of necessary steps for maintaining food security and overcome environmental problems is mainly achieved by undergoing estimation of crop production and prediction of crop area. 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 nutria-cereals in India. India is the leading producer of nutri-cereals which is almost 33.3 percent of total nutri cereals produced all over the world. The largest nutri cereals-producing state in India is Rajasthan which almost contributes 41.03 percent of total nutri cereals produced with in the country. Regression modeling was applied for both area and production of nutri cereals in India for a period 70 years (1951-2020) 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 nutri cereals for India with maximum accuracy.
Rama Shankar Yadav, Vishal Mehta, Gokul Krishnan KB. Regression models for forecasting nutri cereals area and production in India. Int J Stat Appl Math 2023;8(3):48-53. DOI: 10.22271/maths.2023.v8.i3a.979