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首页> 外文期刊>International Journal of Agricultural and Statistical Sciences >FORECASTING OF RICE YIELD BASED ON WEATHER PARAMETERS IN KHEDA DISTRICT OF GUJARAT, INDIA
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FORECASTING OF RICE YIELD BASED ON WEATHER PARAMETERS IN KHEDA DISTRICT OF GUJARAT, INDIA

机译:基于印度古吉拉特皇宫区天气参数的水稻产量预测

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摘要

The present study was undertaken to investigate the feasibility of estimating the yield of rice based on combined effects of weather parameters and technological advancement, using past weather records for Kheda district of middle Gujarat state. To this end, Autoregressive Integrated Moving Average with Exogenous variables (ARIMAX) time-series model along with its estimation procedure is studied. In the present investigation, two models at tillering stage of rice growth are developed by including themost important weather variables. As an illustration, ARIMAX models are employed for forecasting of rice yield in kheda district of Gujarat. Comparative study of the fitted models is carried out from the viewpoint of Relative mean absolute prediction error (RMAPE) Mean absolute deviation (MAD) and root mean square error (RMSE) values.
机译:本研究旨在探讨基于天气参数和技术进步的综合影响估算水稻产量的可行性,利用古吉拉特州kheda区的过去的天气记录。 为此,研究了具有外源变量(ARIMAX)时间序列模型的自回归综合移动平均线以及其估计程序。 在本调查中,通过包括对策的重要天气变量,开发了两种在稻米生长阶段的模型。 作为图示,ARIMAX模型用于预测古吉拉特喀里达区的水稻产量。 从相对平均绝对预测误差(RMAP)的观点来看,拟合模型的比较研究是指平均绝对偏差(MAD)和根均方误差(RMSE)值。

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