Krishna Priya, S.R (2024) Comparison Study Using Arima and Ann Models for Forecasting Sugarcane Yield. Comparison Study Using Arima and Ann Models for Forecasting Sugarcane Yield, 97. pp. 1-10.

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Abstract

Sugarcane is the largest crop in the world in terms of
production. We use sugarcane and its byproducts more and more
frequently in our daily lives, which elevates it to the status of a unique
crop. As a result, the assessment of sugarcane production is critical since it
has a direct impact on a wide range of lives. The yield of sugarcane is
predicted using ARIMA and ANN models in this study. The models are
based on sugarcane yield data collected over a period of 56 years (1951
2017). Root Mean Square Error (RMSE) and Mean Absolute Percentage
Error (MAPE) have been used to analyze and compare the performance of
different models to obtain the best-fit model. The results show that the
RMSE and MAPE values of the ANN model are lower than those of the
ARIMA model and that the ANN model matches best to this data set.

Item Type: Article
Divisions: PSG College of Arts and Science > Department of Statistics
Depositing User: Dr. B Sivakumar
Date Deposited: 04 Dec 2025 06:10
Last Modified: 04 Dec 2025 06:10
URI: https://ir.psgcas.ac.in/id/eprint/2559

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