models can be used to predict crop yield and inputs levels such as fertilizer, in order to conduct programming for the management of probable future crisis. in this study, based on the model, the effect of nitrogen fertilizer on dry matter partitioning in shoot and root of sugar beet was predicted. for model construction, data were collected from an experiment conducted in karaj city in 2001. i...

There is a need for knowledge, experience, laboratory, materials, and time to conduct chemical experiments. The results depend on the process and are also quite costly. For economic and rapid results, chemical processes can be modeled by utilizing data obtained in the past. In this paper, an artificial neural network model is proposed for predicting the removal efficiency of...

The performance of geostatistical and spatial interpolation techniques for estimation of spatial variability of heavy metals and water quality mapping of groundwater resources in Ramiyan district (Golestan province- Iran) were investigated. 24 spring/well water samples were collected and the concentration of heavy metals (Ni, Co, Pb, Cd and Cu) was determined using Differential Pulse Polarograp...

In the design of a large deployable mesh reflector, high surface accuracy is one ultimate goals since it directly determines overall performance reflector. Therefore, evaluation needed in many cases and analysis reflectors. The usually specified as root-mean-square error, which measures deviation geometry from desired working surface. this paper, methods error calculation for reflectors are rev...

comparison of linear and nonlinear (bilinear) time series models in reference crop evapotranspiration prediction in urmia synoptic stationreference crop evapotranspiration (eto) prediction is one of the important elements in optimizing agricultural water consumption. in this regard, one of the prediction approaches is to use the stochastic time series methods. in this research, ar (p) and arma(...