Forecasting Sugar Beet Production in Turkey Using the Box-Jenkins Method

SARICA D.

Journal of Agricultural Science and Technology, cilt.26, sa.1, ss.1-11, 2024 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 1
  • Basım Tarihi: 2024
  • Doi Numarası: 10.22034/jast.26.1.1
  • Dergi Adı: Journal of Agricultural Science and Technology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1-11
  • Anahtar Kelimeler: ARIMA, Autoregressive integrated moving average, Beta vulgaris L, Output prediction
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Evet

Özet

Turkey is a favourable country for sugar beet production due to its climate and soil composition, and it holds a significant position among the countries producing sugar beet. Therefore, in this study, an Autoregressive Integrated Moving Average (ARIMA) was used to project the sugar beet production values for Turkey over the next ten years. The most effective model structure [ARIMA (2, 1, 3)] was created for this purpose using data from 1925 to 2020. The years 2019 and 2020 were utilized as the model’s validation years. When the observed and expected sugar beet production values are compared, the data indicates that the predicted values are slightly lower than the actual ones. The results also show that by 2030, sugar beet production in Turkey would reach 20.5 million tons. This research may help policymakers plan for the storage, export, or import of sugar beets. Also, by using these data, resource waste can be avoided.