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Forecasting Monthly Export Price of Sugarcane in India Using Sarima Modelling

التفاصيل البيبلوغرافية
العنوان: Forecasting Monthly Export Price of Sugarcane in India Using Sarima Modelling
المؤلفون: Ramadhan Ali J., Krishna Priya S. R., Razzaq Abbas Noor, Kausalya N., Yadav Shikha, Mishra Pradeep, Abotaleb Mostafa, Alkattan Hussein
المصدر: BIO Web of Conferences, Vol 97, p 00142 (2024)
بيانات النشر: EDP Sciences, 2024.
سنة النشر: 2024
المجموعة: LCC:Microbiology
LCC:Physiology
LCC:Zoology
مصطلحات موضوعية: Microbiology, QR1-502, Physiology, QP1-981, Zoology, QL1-991
الوصف: Sugarcane is the primary agricultural industry that sustains and promotes economic growth in India. In 2018, the majority of India's sugarcane production, specifically 79.9%, was allocated for the manufacturing of white sugar. A smaller portion, 11.29%, was used to produce jaggery, while 8.80% was utilized as seed and feed components. A total of 840.16 million metric tonnes of cane sugar was shipped in the year 2019. The primary objective of this research is to determine the most suitable forecasting model for predicting the monthly export price of sugarcane in India. The input consists of a time series with 240 monthly observations of the export price of sugarcane in India, spanning from January 1993 to December 2013. The SARIMA approach was employed to predict the monthly export price of sugarcane and it is concluded that the SARIMA (0, 1, 1), (0, 0, 0)12 model is the best-fitted one by the expert modeler method. As a result, the fitted model appears to be adequate. The RMSE and MAPE statistics are used to analyze the precision of the model.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
French
تدمد: 2117-4458
Relation: https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00142.pdf; https://doaj.org/toc/2117-4458
DOI: 10.1051/bioconf/20249700142
URL الوصول: https://doaj.org/article/608392e9deb3497eac68f5f92eadda22
رقم الأكسشن: edsdoj.608392e9deb3497eac68f5f92eadda22
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21174458
DOI:10.1051/bioconf/20249700142