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What is Hybrid Time Series Crop Yield Forecasting about?
The document presents a hybrid linear time series approach for long-term forecasting of crop yield, specifically focusing on rice in Uttar Pradesh, India. It combines ARIMA for short-term forecasts with an artificial neural network (ANN) to model the nonlinear residuals, resulting in improved accuracy with a mean absolute percentage error (MAPE) reduction from 17.677% to 4.65%. The proposed method is aimed at enhancing food security by providing more reliable yield forecasts to meet future population demand
- Author
- deepak.sarma
- Language
- EN