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Bhartiya Krishi Anusandhan Patrika, volume 33 issue 1 & 2 (march & june 2018) : 120-127

Forecasting Sugarcane yield of India using ARIMA-ANN hybrid model

Mrinmoy Ray, R. S. Tomar, Ramasubramanian V., K N Singh
1<p>ICAR-IASRI, New Delhi-110012</p>

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Cite article:- Ray Mrinmoy, Tomar S. R., V. Ramasubramanian, Singh N K (NaN). Forecasting Sugarcane yield of India using ARIMA-ANN hybrid model . Bhartiya Krishi Anusandhan Patrika. 33(1): 120-127. doi: undefined.

ABSTRACT

Sugarcane is one of the main cash crops of India hence forecasting sugarcane yield is vital for proper planning. Till date Autoregressive integrated moving average (ARIMA) model is a stand out amongst the most main stream approach for sugarcane yield forecasting. Recent research activity reveals that hybrid model improves the accuracy of forecasting when contrasted with the individual model. Along these lines, in this study, ARIMA-ANN hybrid model was utilized for forecasting sugarcane yield of India. The hybrid model was compared with ARIMA approach. Empirical results clearly reveal that the forecasting accuracy of the hybrid model is superior to ARIMA.

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REFERENCES


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