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Comparative Performance of Time Series Models on Maize in North Coastal Zone of Andhra Pradesh

机译:时间序列模型在安得拉邦北部沿海地区玉米的比较性能

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The present study was carried out to the “Comparative performance of time series models of area, production and productivity of maize in North coastal zone of Andhra Pradesh”. It has been undertaken to estimate the future trends and to fit the adequate mode! for the future projections by 2020 AD. The study was carried for North coastal zone of Andhra Pradesh using time series data from 1971 to 2011. Different linear, non linear and time series models were fitted to the area, production and productivity of maize and the best-fitted model was chosen based on least Mean Absolute Percent Error (MAPE) value and highest value for future projections. The result also shows that maize area, production and productivity would be 34.75 thousand hectares, 140.75 thousand tonnes and 4048 kg ha~(-1) respectively by 2020 AD. The conclusion from the study is that, ARIMA model indicated that there would be substantial increasing in the area, production and productivity of the maize crop in the future.
机译:本研究是针对“安得拉邦北部沿海地区玉米面积,产量和生产力的时间序列模型的比较性能”进行的。已经进行了估算未来趋势并适应适当的模式!对于到2020年的未来预测。该研究是使用1971年至2011年的时间序列数据对安得拉邦北部沿海地区进行的。针对玉米的面积,产量和生产力拟合了不同的线性,非线性和时间序列模型,并根据该模型选择了最佳拟合模型。最低平均绝对百分比误差(MAPE)值和未来预测的最高值。结果还表明,到2020年,玉米面积,产量和生产力将分别达到3.475万公顷,14.75万吨和4048千克ha〜(-1)。研究得出的结论是,ARIMA模型表明,未来玉米作物的面积,产量和生产力将有大幅增长。

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