Show simple item record

dc.contributor.authorAkın, M. and Eyduran, S.P. and Çelik, Ş. and Aliyev, P. and Aykol, S. and Eyduran, E.
dc.date.accessioned2021-04-08T12:06:02Z
dc.date.available2021-04-08T12:06:02Z
dc.date.issued2021
dc.identifier10.36899/JAPS.2021.3.0267
dc.identifier.issn10187081
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85100208182&doi=10.36899%2fJAPS.2021.3.0267&partnerID=40&md5=04df1a1a32edee3fe711a7340743622d
dc.identifier.urihttp://acikerisim.bingol.edu.tr/handle/20.500.12898/3805
dc.description.abstractIn this article, the yearly cherry production (in tonnes) data of Turkey for the period of 1961-2019 were used in order to model and forecast cherry production for the period 2020-2025 using Autoregressive Integrated Moving Average (ARIMA) models. Time series data for cherry were found to be non-stationary at the level and hence the first differences of the series were taken to obtain stationary time series before performing the time series modeling. The Box-Jenkins approach was employed and the ARIMA (1,1,1) model was determined to be the most appropriate among the several ARIMA models for the data. The model forecasted the increase in cherry production for 2020-2025 period in Turkey from 66.4076 to 72.6028 tonnes (approximately 1.8% annual growth rate in production). The forecasts for the between 2020 and 2025 will access from 696 351 to 887 609 tonnes in logarithmic transformed new series (ARIMA (0,1,1)). The findings of this study may assist policy makers in developing better strategies for sustainable cherry production. © 2021, Pakistan Agricultural Scientists Forum. All rights reserved.
dc.language.isoEnglish
dc.sourceJournal of Animal and Plant Sciences
dc.titleModeling and forecasting cherry production in turkey


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record