Evaluation of linear statistical models for predicting area, production and productivity of Sapota in Gujarat
Author(s):
Prity Kumari, DJ Parmar, Sathish Kumar M, AB Mahera and YA Lad
Abstract:
The current study compares the performance of linear statistical models for predicting area, production, and productivity of Sapota in Gujarat. Time series secondary data were considered for the period of 1991-92 to 2016-17 from Directorate of Horticulture, Government of Gujarat and the data were analysed through R Studio (version 3.5.2) software. In the present investigation, comparison of ARIMA model with exponential smoothing model was done and ARIMA was shown to be the most effective in explaining the area, production, and productivity of sapota, with forecasted value for the year 2017-18 30.52 ('000' Ha.), 335.52 ('000' MT), and 10.86 (MT/Ha.) for respectively.
How to cite this article:
Prity Kumari, DJ Parmar, Sathish Kumar M, AB Mahera and YA Lad. Evaluation of linear statistical models for predicting area, production and productivity of Sapota in Gujarat. The Pharma Innovation Journal. 2022; 11(5S): 755-759.