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The accurate estimation of reference evapotranspiration (ETo) becomes imperative in the planning and management of irrigation practices.
Accurate estimation of reference evapotranspiration is important for irrigation scheduling, water resources management and planning and other agricultural water management issues.
Adjusted Dalton model gives the better estimation of reference crop evapotranspiration compared with adjusted Penman Monteith model for the Kendall subwatershed (Rim 2000).
In this paper, we propose the Least Expected Cost (LEC) replacement algorithm for Web caches that provides a simple and robust framework for the estimation of reference probability and fair evaluation of non-uniform Web objects.
One of the most important results of the current investigation is estimation of reference ET by using only two weather variables including temperature and radiation, with an acceptable accuracy.
Correct estimation of reference evapotranspiration (ET0) is necessary for determining irrigation demands, irrigation scheduling, water resources management, and environmental impact assessment, water balance studies at regional and local levels, and modelling of various rainfall-runoff and ecosystem models.
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The estimation of the reference frequency is an essential preliminary step of feature extraction processing.
Clearly, the effectiveness of HEQ is directly related to the reliable estimation of both reference and test CDFs [26].
In (2), it is noted that the effectiveness of HEQ-FC is directly related to the reliable estimation of both reference and test CDFs.
Therefore, empirical methods including mass transfer-, radiatemperature-,ature-, and pan evaporation-based methods have been developed for estimation of the reference crop evapotranspiration using limited data.
The speed of ultrasound and temperature are correlated, therefore, precise estimation of the reference medium temperature is important to maintain the overall precision of the method employed in this study.
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