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Pre -Harvest Forecast Models Based On Weather Variable And Weather Indices For Eastern U.P.

机译:基于天气变量和东部U.P.天气指数的收获前预报模型

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In the present study, attempts have been made to develop models for forecasting rice yield at district level on the basis of weather variables. Weekly data (of 19 meteorological weeks) on seven weather variables over a span of 21 years period (1989-90 to 2009-10) has been used along with the annual rice production data for Faizabad district (eastern UP). Stepwise regression was used to screen out the important weather variables and multiple regression approach was subsequently employed to estimate model parameters. The model –I was evolved as best for yield forecasting out of five model evaluated, R2 and RMSE of this model comes out to be 71.2%, 0.733 respectively followed by model V with R2 and RMSE 51.25% 1.2524 respectively.
机译:在本研究中,已经尝试建立基于天气变量来预测地区水平水稻产量的模型。过去21年(1989-90至2009-10)的七个天气变量的每周数据(共19个气象周)已与Faizabad区(UP东部)的年度稻米生产数据一起使用。使用逐步回归来筛选出重要的天气变量,随后采用多元回归方法来估计模型参数。在评估的五个模型中,模型–I进化为最佳的产量预测模型,该模型的R2和RMSE分别为71.2%,0.733,其次是模型V,其R2和RMSE为51.25%1.2524。

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