Apple Production of Pakistan A Time Series Modeling and Forecasting: A Time Series Modeling and Forecasting
Abstract
Apple is an important fruit due to its popularity because it contains fiber, calories, Vitamin C, and multivitamins which are beneficial for human health. The demand for apples is increasing due to an increase in the population of a country. Therefore, it is imperative to forecast apple production to observe the current status and to estimate the future trends of a country. This study is concerned with forecasting the apple production of Pakistan. For this purpose, various time series models are fitted on the historical time series data (1958-2017) and search for the best model based on model selection criteria. It is observed that the Autoregressive Integrated Moving Average (2, 1, 2) model is a suitable time series model for forecasting the apple production of Pakistan. The assumptions of the selected model are also evaluated. On the basis of the ARIMA (2, 1, 2) model, we observed that apple production of Pakistan is forecasted to be 697.651 thousand tons in 2030 under the assumption that there is no irregular pattern occurred.
Downloads
Copyright (c) 2025 Muhammad Wasim Amir
This work is licensed under a Creative Commons Attribution 4.0 International License.
JQM follows an open-access publishing policy and full text of all published articles is available free, immediately upon publication of an issue. The journal’s contents are published and distributed under the terms of the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. Thus, the work submitted to the journal implies that it is original, unpublished work of the authors (neither published previously nor accepted/under consideration for publication elsewhere). On acceptance of a manuscript for publication, a corresponding author on the behalf of all co-authors of the manuscript will sign and submit a completed Copyright and Author Consent Form.
