نتایج جستجو برای: growing degree
تعداد نتایج: 493168 فیلتر نتایج به سال:
In this paper we abstract a kind of stochastic processes from evolving processes of growing networks, which are called as growing network Markov chains,threrefore the existence of the steady degree distribution and the formulas of the degree distribution are transformed to the corresponding problems of growing network Markov chains. We divide growing network markov chains into two classes: non-...
Effect of different times and levels of nitrogen fertilizer application on growth and grain yield of spring wheat cultivar “Ghods” was studied during 1993-1994 growing season at Karkadj, Agricultural Experiment Station, College of Agriculture, University of Tabriz, using a split plot design with three replications. Main plots were assigned to five levels of N fertilizers (0, 40, 80, 120 and 160...
Effect of different times and levels of nitrogen fertilizer application on growth and grain yield of spring wheat cultivar “Ghods” was studied during 1993-1994 growing season at Karkadj, Agricultural Experiment Station, College of Agriculture, University of Tabriz, using a split plot design with three replications. Main plots were assigned to five levels of N fertilizers (0, 40, 80, 120 and 160...
In this paper, we abstract a kind of stochastic processes from evolving processes of growing networks, this process is called growing network Markov chains. Thus the existence and the formulas of degree distribution are transformed to the corresponding problems of growing network Markov chains. First we investigate the growing network Markov chains, and obtain the condition in which the steady ...
A new satellite-enabled interoperable service has been developed to provide high spatiotemporal and continuous time series of Growing Degree Days (GDDs) at the field. The GDDs are calculated from MSG-SEVIRI data acquired by EUMETCast station operated IAASARS/NOA downscaled on-the-fly increase initial coarse spatial resolution original 4–5 km 1 km. performance SENSE-GDD, in deriving reliable GDD...
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