In the present study Iran’s rice imports trend is forecasted, using artificial neural networks and econometric methods, during 2009 to 2013, and their results are compared. The results showed that feet forward neural network leading with less forecast error and had better performance in comparison to econometric techniques and also, other methods of neural networks, such as Recurrent networks a...

A study was conducted to determine the growth performance and bioaccumulation and tolerance of metal mixture toxins in five fish species including Labeo rohita, Catla catla, Cirrhina mrigala, Hypophthalmichthys molitrix and Ctenopharyngodon idella separately, under chronic exposure of metal mixture (Fe + Zn + Pb) at sub-lethal concentrations (1/3 of LC50) for 12 weeks period. Moreover, response...

The dynamics and the structure of agricultural activities can be examined on the base of the matrix of growth. In this paper, the consumption of different kinds of meat in Central Serbia, during the period from 2000. to 2011, is analyzed using the matrix of growth and curvilinear trend. First, the growth of consumption of the i-th kind of meat was being observed as linear function, using averag...

Information about agricultural trends can help policymakers identify strategies that will result in a sustained rise food output. The present investigation has been undertaken to study the Growth, Trend and Instability Area, Production Productivity of Wheat Crop Chhattisgarh Plains. Time series data for wheat were collected period (1990-91 2014-15). linear, quadratic exponential functions are f...