Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
Modeling and Forecasting of Sugarcane Production in South Asian Countries
Current Applied Science and Technology · Ocak 2023
Özet
Sugarcane industry is of crucial importance to the South Asian countries. These countries depend heavily on agriculture and the sugarcane industry has immense potential to contribute towards its economic development. Hence, the precise and timely forecast of sugarcane production is of concern for farmers, policy makers and other stakeholders. In this manuscript, we strived to forecast the production and growth rate of this important commodity using standard statistical approaches. The ARIMA (Auto Regressive Integrated Moving Average) and ETS (Exponential Smoothing) models were applied and compared on the basis of their forecasting efficiency for South Asia countries. This study also investigated the trends in sugarcane production in the region and studies the causes of the decline in production of sugarcane in Sri Lanka and Bangladesh. Furthermore, the expected production for following 7 years was computed using both models. In addition, we also calculated the projected growth rates of sugarcane production of South Asian countries over the years 2020-2027.
YÖKSİS Kayıtları
Modeling and Forecasting of Sugarcane Production in South Asian Countries
Current Applied Science and Technology · 2023 Scopus
Doç. Dr. KADİR KARAKAYA →
Makale Bilgileri
Dergi
Current Applied Science and Technology
Toplam Atıf
16 atıf
· Scopus
Yayın TarihiOcak 2023
Cilt / Sayfa23
Scopus ID2-s2.0-85133121885
Erişim🔓 Açık Erişim
Kurumlar
Centurion University of Technology and Management
Paralakhemundi India
Damascus University
Damascus Syrian Arab Republic
Great Zimbabwe University
Masvingo Zimbabwe
Indian Council of Agricultural Research
New Delhi India
Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur
Jabalpur India
Latakia University
Latakia Syrian Arab Republic
Selçuk Üniversitesi
Selçuklu Turkey
South Ural State University
Chelyabinsk Russian Federation
Havuzumuzdaki Atıflar 0
Bu makaleye, sistemimizdeki Scopus veritabanında bulunan 0 makale atıf yapmıştır. Scopus genel atıf sayısı: 16.
Bu makaleye, kendi Scopus havuzumuzdaki başka bir makaleden atıf kaydı bulunmuyor.
Metrikler
16
Atıf