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Articles by M.J. Amiri
Total Records ( 3 ) for M.J. Amiri
  M.J. Amiri , A. Ebrahimizadeh , S. Amiri , M. Radi and M. Niakousari
  In this study, the effects of different irrigation methods (furrow, surface drip and subsurface drip) and water qualities (municipal treated effluent and fresh water) with irrigation scheduling based on soil moisture and root depth monitoring were evaluated on the composition and physicochemical quality of the corn flour. A split plot experiment with three main treatments (irrigation methods) and two sub-main treatments (irrigation water qualities) with four replications were designed and executed in Marvdasht sewage station. The magnitude and extent of the factorial influence were measured/conducted using the effects on Water Absorption Capacity (WAC), Swelling Index (SI), solubility (TSS) and Gelatinization Temperature (GT). Based on the results, the corns, irrigated by furrow irrigation method showed higher protein and oil contents than those irrigated by other methods. In each irrigation method, the samples irrigated with effluent, had higher protein content than those irrigated with fresh water. However, the protein content of the grains probably improved with increasing the volume of irrigation water in furrow methods than the other irrigation methods. The sub-surface drip using wastewater can be a good choice from the point view of agriculture (due to its higher water saving and greater yield) and also food industry (because of the high starch content, solubility and swelling index and the least gelatinization point of the corn flours).
  S.S. Eslamian , J. Abedi-Koupai , M.J. Amiri and S.A. Gohari
  In the present study, the meteorological variables including air temperature, solar radiation, wind speed and relative humidity were considered daily. The R2 of ANNs and SVMs models were obtained 0.92 and 0.96, respectively; whereas the efficiency of ANNs and SVMs models were 0.83 and 0.91, respectively. Both ANNs and SVMs approaches work well for the data set used in greenhouse condition, but the SVMs model works better in comparison with the ANNs model.
  M.A. Ebrahimizadeh , M.J. Amiri , S.S. Eslamian , J. Abedi-Koupai and M. Khozaei
  In this study, the effects of irrigation methods (surface drip and subsurface drip) and water qualities (municipal treated effluent and fresh water) with irrigation scheduling based on soil moisture and root depth monitoring were evaluated on the chemical properties of the soil. A split plot experiment with two main treatments (irrigation methods) and two sub-main treatments (irrigation water qualities) with four replications were designed and executed in Koshkak research centre (Southern Iran). Soil samples were collected from depths of 0-20, 20-40 and 40-60 cm and were analyzed for electrical conductivity (EC), soluble sodium (Na) and chloride (Cl) concentrations, total nitrogen (TN) and phosphorus (P). Results showed that the soil EC, Na and Cl of the second and third layers of soil were significantly greater with surface irrigation than with subsurface irrigation. The EC, Na and Cl of second and third soil layers irrigated with wastewater were higher as compared with groundwater. The soil EC, Na and Cl content increased with increasing the depth of the soil layer. The fluctuations in nitrogen concentration were opposite to the fluctuations in Cl concentration as the nitrogen content of the soil decreased with increasing the soil depth. The best water saving and water productivity was obtained with sub-surface drip irrigation.
 
 
 
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