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Articles by Javad Khazaei
Total Records ( 2 ) for Javad Khazaei
  Javad Khazaei , Feizollah Shahbazi , Jafar Massah , Mehdi Nikravesh and Mohammad H. Kianmehr
  Threshing wheat (Triticum aestivum L.) at high speeds is the main reason behind abnormal seedlings and vigor reduction of the seeds. This problem is expected to be severe in head-stripper combines with successive impact loadings of stripping and threshing units. The aim of this study was to simulate the effects of impact velocities (IV), number of impact loadings (NL), and seed moisture content (MC) on percentage of physical damage (PPD) and percentage of loss in germination (PLG) to wheat seeds. Modeling the correlation between dependent and independent variables was performed using mathematical and artificial neural networks (ANN). The result showed that all the three independent variables significantly influenced PPD and PLG (P = 0.01). Increasing the IV from 5 to 30 m s–1 caused an increase in PPD and PLG from 0.17 to 35.8% and from 0.37 to 19.9%, respectively. It was found that the seeds with higher MC could better withstand physical and physiological damage than those with lower MC. With an increase in NL from 1 to 3 times, the mean values of PPD and PLG were increased by 2.9 and 2.6 times, respectively. An ANN model with two hidden layers, trained with a back-propagation algorithm, successfully learned the relationship between the input and output variables. In comparison with regression models, ANN performed better when predicting PPD and PLG to wheat seeds.
  Mahmood Mahmoodi , Javad Khazaei and Narjes Mohamadi
  The purpose of this study was modeling the mass and size distribution of three varieties of almond and its kernel (seed) using the Weibull distribution function. Furthermore, some physical properties of seeds were measured using an image processing technique. A two-parameter Weibull distribution function was chosen for modeling the size and mass distributions. The Weibull distribution of width was better modeled than the other sizes and the distribution of sizes mainly were better modeled than the mass. The mass distribution of almonds was approached to the normal probability density function, whereas the dimension distributions of seeds had negatively skewed.
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