Forecasting Area, Yield And Production Of Groundnut Crop In New Andhra Pradesh Using- R

Ginka. Ananda Kumar; DR P. Mohammed Akhtar; S. Dhanunjaya

doi:https://doi.org/10.14445/22315373/IJMTT-V66I6P526

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 66 | Issue 6 | Year 2020 | Article Id. IJMTT-V66I6P526 | DOI : https://doi.org/10.14445/22315373/IJMTT-V66I6P526

Forecasting Area, Yield And Production Of Groundnut Crop In New Andhra Pradesh Using- R

Ginka. Ananda Kumar, DR P. Mohammed Akhtar, S. Dhanunjaya

Citation :

Ginka. Ananda Kumar, DR P. Mohammed Akhtar, S. Dhanunjaya, "Forecasting Area, Yield And Production Of Groundnut Crop In New Andhra Pradesh Using- R," International Journal of Mathematics Trends and Technology (IJMTT), vol. 66, no. 6, pp. 261-274, 2020. Crossref, https://doi.org/10.14445/22315373/IJMTT-V66I6P526

Abstract

Groundnut is king of oilseeds. Groundnut is the largest oilseed produced in the world and stands second largest oilseed in India. The Indian agricultural Sector accounts for 15.4% of India’s gross domestic product (GDP) and employs just a little less than 44% of the country’s labour force. The Andhra Pradesh Agricultural sector accounts for 34% of New Andhra Pradesh state’ s gross domestic product(GDP) and employs just a less than 55% of the state’s labour force. Prices of groundnuts liable to change rapidly and unpredictably, hence farmers need a reasonable forecasting of harvest period price to decide on the acreage under groundnut. Time series data covering the period of 2003-2018 was used of New Andhra Pradesh was used for the study. The study is to identify the best ARIMA model, which is for fitting and forecasting of groundnut area, yield and production in New Andhra Pradesh respectively. Based on results collected some conclusions are made about the forecast production of groundnut crop by using ARIMA with R- software.

Keywords

ARIMA, Forecasting, Auto Correlation Function, Akaike Information Criterion, R-software

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