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this paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in guilan province of iran. results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). the results indicated that a total energy input of 13910.67 ...

in order to examine the hypothesis of this research, an accidental sample of 122 students have been appointed from among the community of female students who were studying at the last year of primary school in isfahan . the sample was divided into four groups, cognitive group, behavioral group, cognitive- behavioral group and control group. the impacts of independent variables have been assesse...

in this study, green pepper was dried by a laboratory scale microwave-convective dryer. the effects of microwave power on drying rate, effective moisture diffusivity, and energy consumption of green pepper were studied at four different microwave powers of 180, 360, 540, and 720w. the drying data were fitted to the four thin-layer drying models. the moisture reduction of the green pepper sample...

in this study greenhouse tomato production was investigated from energy consumption and greenhouse gas (ghg) emission point of views. moreover, artificial neural networks (anns) and adaptive neuro-fuzzy inference systems (anfis) were employed to model energy consumption for greenhouse tomato production. total energy input and output were calculated as 1316.14 and 281.1 gj/ha. among the all ener...

the present study investigated the influence of air temperature and velocity on the drying kinetics and specific energy consumption during fluidized bed drying of soybean at 80, 100, 120 and 140ºc and airflow rates of 1.8, 3.1 and 4.5 m s-1. six mathematical models for describing the fluidized bed drying behavior were investigated. the value of the drying rate coefficient (k) increased with inc...