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Modeling and Forecasting of Sugarcane Production in India

Sugar Tech · Aralık 2021

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YÖKSİS Kayıtları
Modeling and Forecasting of Sugarcane Production in India
Sugar Tech · 2021 SCI-Expanded
Doç. Dr. KADİR KARAKAYA →
YÖKSİS ISSN Eşleşmesi

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YÖKSİS Kayıtları — ISSN Eşleşmesi
Modeling and Forecasting of Sugarcane Production in India
2021 ISSN: 0972-1525 SCI-Expanded Q3
Doç. Dr. KADİR KARAKAYA →

Makale Bilgileri

ISSN09721525
Yayın TarihiAralık 2021
Cilt / Sayfa23 · 1317-1324
Özet Sugarcane plays an essential role in the economy of the India. During 2018, 79.9% of total sugarcane production of India was used in the manufacture of white sugar, 11.29% was used for jaggery production, and 8.80% was used as seed and feed materials. 840.16 Mt sugarcane was exported in the year 2019. Prediction of production level is basic to effective decision-making for policymakers. The objective of this study is thus to find the suitable models of forecasting for sugarcane production. India and major sugarcane producing states, namely Andhra Pradesh, Karnataka, Maharashtra, Tamil Nadu and Uttar Pradesh were selected. Sugarcane production data from 1950 to 2015 were used for training and 2016 to 2018 was used to test the model. ARIMA method was used to model the production process. Order selection was done using AIC. RMSE, MAPE and Theils’ U statistic were used to test the accuracy of the models fitted to the data. ARCH process was found for Karnataka, Tamil Nadu and Uttar Pradesh. Autocorrelation was not present in all the data series analyzed. Forecast accuracy on MAPE criteria ranged from 0.046 to 0.197 percent.

Yazarlar (9)

1
Pradeep Mishra
2
Abdullah Mohammad Ghazi Al Khatib
3
Iqra Sardar
4
Jamal Mohammed
5
Kadir Karakaya
6
Abhiram Dash
7
Monika Ray
8
Lakshmi Narsimhaiah
9
Anurag Dubey

Anahtar Kelimeler

ARIMA Forecasting India Modeling Production Sugarcane

Kurumlar

Amity University
Noida India
Bidhan Chandra Krishi Viswavidyalaya
Mohanpur India
Damascus University
Damascus Syrian Arab Republic
Jawaharlal Nehru Krishi Vishwa Vidyalaya
Jabalpur India
Koforidua Technical University
Koforidua Ghana
Orissa University of Agriculture & Technology
Bhubaneswar India
Riphah International University
Islamabad Pakistan
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Sugar Tech
Q2
SJR Skoru0,475
H-Index46
YayıncıSpringer
ÜlkeIndia
Agronomy and Crop Science (Q2)
Dergi sayfasına git

Metrikler

51
Atıf
9
Yazar
6
Anahtar Kelime

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