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- W2896800377 abstract "The accurate forecast information of soil moisture of farmland can help improve the accuracy of irrigation forecasting and improve the efficiency of farmland irrigation water. In this paper, Based on the meteorological data of the past years, the function relationship between the reference of crop evapotranspiration in adjacent time periods was established to forecast the soil water content for the winter wheat experiment data of Huoquan Irrigation Experimental Station in Shanxi Province for 2015–2016. The forecasting result shows that the soil moisture prediction obtained high fitting precisions to the measured soil moisture data, with the correlation coefficient (R2) of 0.7841, the index of agreement of 0.92, the absolute prediction error of 0.812 and the relative prediction error of 0.051; and according to the standard 20%,15% and 10% of the allowable error, the accuracy rate of precision is 100%, 100% and 90% respectively which reaches the precision level of A. It is more reliable to use the method of predicting the soil water content by seting up the function of reference crop evapotranspiration in adjacent periods." @default.
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- W2896800377 date "2018-08-01" @default.
- W2896800377 modified "2023-09-26" @default.
- W2896800377 title "Research of Soil Moisture Content Forecast Model Based on Reference Evapotranspiration in Neighboring Periods" @default.
- W2896800377 cites W2047884674 @default.
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- W2896800377 doi "https://doi.org/10.1109/agro-geoinformatics.2018.8476097" @default.
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